Resume

Appointments

  • Director, Neuromorphics Lab (nl.bu.edu) Boston University (2011 – Present)
  • Research Assistant Professor,Boston University (2011 – Present)
  • Co-Director, CELEST Catalyst (catalyst.bu.eduBoston University (2010 – Present)
  • Senior Research Scientist, Boston University (2009 – 2011)
  • Postdoctoral Research,Boston University (2007 – 2009)
  • Advisors: Prof. Gail Carpenter and Prof. Stephen Grossberg

Consulting

Hi-tech project development (1998 – 2007) Clients: Veneto Region, Italian Ministry of Health, SATA HTS, InsielS.p.A., ProgettoImpresa, LED

Education and Training

Ph.D. in Cognitive and Neural Systems

  • Boston University. Advisor: Prof. Stephen Grossberg
  • Concentration: biologically-inspired neural models of learning and memory

 

B.A./M.Sc. in Experimental Psychology, summa cum laude

  • University of Trieste, Italy. Advisor: Prof. Walter Gerbino
  • Concentration: biologically-inspired artificial visual systems

Research Interests

Integrated, multi-components brain systems for virtual and robotic agents, visual perception, machine vision, learning and memory, decision making, neuromorphic software and hardware, brain-machine interface for healthcare, robotics, and industrial applications of brain-based technology. 

Publications

(i) Computational neuroscienceRefereed journal articles

  •  Grossberg, S., Palma, J., and Versace, M. Resonant cholinergic dynamics in cognitive and motor decision-making: Attention, category learning, and choice in neocortex, superior colliculus, and optic tectum. Submitted, June 2015
  • Palma, J., and Grossberg, S., and Versace, M. (2012) Persistence and storage of activity patterns in spiking recurrent cortical networks: Modulation of sigmoid signals by after-hyperpolarization currents and acetylcholine. Frontiers in Computational Neuroscience, 6:42. doi: 10.3389/fncom.2012.00042.
  • Palma, J., Versace, M., and Grossberg, S. (2011) After-hyperpolarization currents and acetylcholine control sigmoid transfer functions in a spiking cortical model. Journal of Computational Neuroscience, DOI: 10.1007/s10827-011-0354-8.
  • Léveillé, J., Versace, M., and Grossberg, S. (2010)How do object reference frames and motion vector decomposition emergein laminar cortical circuits? Attention, Perception, & Psychophysics, Vol. 73, No. 4, 1147-1170.
  • Versace, M., and Zorzi, M. (2010) The role of dopamine in the maintenance of working memory in prefrontal cortex neurons: input-driven versus internally-driven networks. International Journals of Neural Systems, Aug, 20(4):249-65
  • Léveillé, J., Versace, M., and Grossberg, S. (2010) Running as fast as it can: How spikes form object groupings in the laminar circuits of visual cortex?Journal of Computational Neuroscience, 28(2):323-46.
  • Grossberg, S., and Versace, M. (2008) Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Brain Research, 1218C, 278-312 [Authors listed alphabetically].
  • Gorchetchnikov, A., Versace, M., and Hasselmo, M.E. (2005) A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay. Neural Networks 18, 458–466.

Conference papers

  • Gorchetchnikov, A., Versace, M., and Hasselmo, M.E. (2005) Spatially and temporally local spike-timing-dependent plasticity rule. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005, Montreal, QC, Canada. 1568, 390–396.

Doctoral dissertation

  • Versace, M., (2007) Laminar Circuits for Synchronous Thalamocortical Information Processing and Attentive Stable Learning by Spiking Neurons. Boston University, 2007, ISBN 1109976739, 9781109976731.

(ii) Neuromorphic engineering, neuroinformatics, and robotics

Refereed journal articles

  • Galbraith, B.V, Guenther, F.H., and Versace, M. (2015) A neural network-based exploratory learning and motor planning system for co-robots. Frontiers in Neuroscience, in press.
  • Raudies, F., Eldridge, S., Joshi, A., and Versace, M. (2014). Learning to navigate in a virtual world using optic flow and stereo disparity signals. Artificial Life and Robotics DOI 10.1007/s10015-014-0153-1.
  • Ames, H. Mingolla, E., Sohail, A., Chandler, B., Gorchetchnikov, A., Léveillé, J., Livitz, G. and Versace, M. (2012) The Animat. IEEE Pulse, February 2012, 3(1), 47-50[cover page]
  • Livitz, G., Versace, M., Gorchetchnikov, A., Vasilkoski, Z., Ames, H., Chandler, B., Léveillé, J., and Mingolla, E. (2011) Scalable adaptive brain-like systems. The Neuromorphic Engineer, DOI: 10.2417/1201101.003500 February 2011.
  • Snider, G., Amerson, R., Carter, D., Abdalla, H., Qureshi, S., Laveille, J., Versace, M., Ames, H., Patrick, S., Chandler, B., Gorchetchnikov, A., and Mingolla, E. (2010) Adaptive Computation with Memristive Memory. IEEE Computer, Volume 44(2). [cover page]
  • Versace, M., Ames, H., Léveillé, J., Fortenberry, B., and Gorchetchnikov, A. (2008) KInNeSS: A modular framework for computational neuroscience. Neuroinformatics, 2008 Winter; 6(4):291-309. Epub 2008 Aug 10.

Book chapters

  • Versace, M., Kozma, R.T, and Wunsch, D.C. (2012) Adaptive Resonance Theory design in mixed memristive-fuzzy hardware. In Advances in Neuromorphic Memristor Science and Applications, Kozma, R., Pino, R., and Pazienza, G.  (eds), Springer Verlag.
  • Ames, H, Versace, M., Gorchetchnikov, A., Chandler, B., Livitz, G., Léveillé, J., Mingolla, E., Carter, D., Abdalla, H., and Snider, G. (2012) Persuading computers to act more like brains. In Advances in Neuromorphic Memristor Science and Applications, Kozma,R.Pino,R.,andPazienza, G.  (eds), Springer Verlag.

Cover-page featured and popular articles

  • Versace, M., and Chandler, B. (2010) MoNETA: A Mind Made from Memristors. IEEE Spectrum, December 2010. [cover page]

Conference papers

  • Gorchetchnikov, A., Versace, M., Ames, H., Chandler, B., Laveille, J., Livitz, G., Mingolla, E., Snider, G., Amerson, R., Carter, D., Abdalla, H., and Qureshi, S. (2011) A Unified Learning Framework for Memristive Neuromorphic Hardware. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2011, San Jose, CA, USA.
  • Vasilkoski , Z., Versace, M., Ames, H., Chandler, B., Léveillé, J., Gorchetchnikov, A., Livitz, G., and Mingolla, E. (2011) Stability analysis of neural plasticity rules for implementation on memristive neuromorphic hardware. Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2011, San Jose, CA, USA.
  • Livitz, G., Versace, M., Gorchetchnikov, A., Vasilkoski, Z., Ames, H., Chandler, B., Léveillé, J., Mingolla, E., Snider, G., Amerson, R., Carter, D., Abdalla, H., and Qureshi, S. (2011)Visually-Guided Adaptive Robot (ViGuAR). Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2011, San Jose, CA, USA.
  • Léveillé, J., Ames, H., Chandler, B., Gorchetchnikov, A., Mingolla, E., Patrick, S., and Versace, M. (2010) Learning in a distributed software architecture for large-scale neural modeling. BIONETICS10, Boston, MA, USA.
  • Lorenz, S., Ames, H., and Versace, M. (2010) Consciousness and neuromorphic chips: A case for embodiment. Boston University Interdisciplinary Graduate Conference on Consciousness, Boston, MA.

(iii) Machine learning

Refereed journal articles

  • Wong, C., and Versace, M. (2012) CARTMAP: a neural network method for automated feature selection in financial time series forecasting. Neural Computing and Applications, DOI 10.1007/s00521-012-0830-8
  • Wong, C., and Versace, M. (2011) Context sensitivity with neural models in financial decision processes. Global Journal of Business Research. Vol. 5, No. 5, pp. 27-43.
  • Versace, M., Bhatt, R., Hinds, O., and Shiffer, M. (2004) Predicting the exchange traded fund DIA with a combination of Genetic Algorithms and Neural Networks. Expert Systems with Applications. 27, 417–425.

Book chapters

  • Versace, M., (2010) Open-source software for computational neuroscience: Bridging the gap between models and behavior. In Horizons in Computer Science Research, Volume 3.

Conference papers

  • Wong, C., and Versace, M. (2011) Re-thinking financial neural network studies: Seven cardinal confounds. Global Conference on Business and Finance, Las Vegas, Nevada.
  • Wong, C., and Versace, M. (2011) Echo ARTMAP: Context sensitivity with neural networks in financial decision-making. Global Conference on Business and Finance, Las Vegas, Nevada.
  • Versace, M., Bhatt, R., Hinds, O. and Shiffer, M. (2004) Optimizing financial applications through biologically-inspired methods. Proceedings of the International Conference on Financial Engineering and Application, Cambridge, MA, USA.

Other academic publications

 

Patents

  Gorchetchnikov, Ames, H., Versace, M., and Santini, F. 2014. Graphic Processor Based Accelerator System and Method. U.S. Patent No. 8,648,867, February 11, 2014.


Grants

Currently funded

  • PI, National Aeronautics and Space Administration (NASA) Center Innovation Fund (CIF) “Neuromorphic solutions for UAS Collision Avoidance”. $59,455 for 1 year.
  • PI, Bio-Inspired Algorithms for Automotive Applications, # 55202175, DENSO Corporation, Japan, $25,000.
  • PI, Hewlett-Packard (HP) contract titled "Whole brain modeling with Cog Ex Machina applied to an unmanned helicopter". SAP#55200680, $325,000 for 6 months.
  • PI, Air Force Research Lab (AFRL) contract to Neurala LLC, “Adaptive laminar computing”, FA8750-12-C-0123. $794,967 for 2.5 years.
  • PI, Air Force Office of Scientific Research (AFOSR) subcontract for proposal #12RSL106 “Visual depth perception from motion through texture accretion and deletion: A neural model of figure-ground segregation and occlusion”, $200,192 for 2 years.
  • Project lead for three National Science Foundation (NSF) Science of Learning Center CELEST (Center of Excellence for Learning in Education, Science and Technology) projects: “Synthesis of cerebellar and basal ganglia learning”, “A brain-machine interface for assistive robotic control”, and “Plastic neuromorphic hardware for autonomous navigation in mobile robots”. NSF SBE-0354378 and NSF OMA-0835976. $310,635 for 1 year (renewable).
  • Private donation, Hewlett-Packard, “Autonomous collaborative robotics”, $25,000.

Previously funded

  • Co-PI, Hewlett-Packard subcontract to Boston University, DARPA Systems of Neuromorphic Adaptive Plastic Scalable Electronics (SyNAPSE) program; contract HR0011-09-3-0001. $1,068,000 for 1 year.
  • Project lead for two National Science Foundation Science of Learning Center CELEST (Center of Excellence for Learning in Education, Science and Technology) projects: “A brain-machine interface for assistive robotic control”, and “Plastic neuromorphic hardware for autonomous navigation in mobile robots”. NSF SBE-0354378 and NSF OMA-0835976. $172,519 for 1 year.

Awards Received

  • CELEST Award for Computational Neuroscience (with Schuyler Eldridge, Florian Raudies, Ajay Joshi, awarded, Boston University Science and Engineering Day, March 2012).Outstanding Research Award, Global Conference on Business and Finance, Las Vegas, Nevada, Institute for Business and Finance Research, (2011).
  • Top Cited Article 2008-2010, Brain Research ("Spikes, synchrony, and attentive learning by laminar thalamocortical circuits")
  • CELEST Award for Computational Modeling of Brain and Behavior (with Jasmin Leveielle and Stephen Grossberg, awarded, Boston University Science and Engineering Day, March 2009).
  • Invited Participant and Fellowship to NSF Sponsored Telluride Workshop on Neuromorphic Engineering (awarded, Telluride, Colorado, April 2008).
  • Coherent Behavior in Neural Networks (CoBeNN) Workshop travel award (awarded, Palma de Mallorca, Spain, May 2007).
  • Fulbright Fellowshipfor doctoral studies (awarded, Rome, Italy, September 2001).
  • Winning entry for the Euro Fund competition (awarded, Padova, Italy, February 2001).
  • Post-B.A. Fellowship (awarded, University of Trieste, Italy, January 1999)
  • Erasmus Fellowship (awarded, University College of London, United Kingdom, February 1996).

Invited Talks

and Lectures

  • Deep learning for robots and UAS: applications to autonomous navigation and sense-and-avoid, Invited talk, NASA Langley, 22 July 2015
  • Deep Learning for Bots. Keynote, Defrag, Boulder, CO, November 18, 2014
  • Neuromorphic Solutions for Autonomous Land and Aerial Vehicles, Invited talk, NASA Ames, May 2014
  • Hello Tomorrow Challenge, Invited talk, Paris, France, April 2014
  • TEDx Fulbright, Washington DC, 4/5/2014
  • Neuromorphic Solutions for Autonomous Land and Aerial Vehicles, Invited talk, NASA Langley, February 2014
  • Intelligent Machines or Bust. Invited talk, Future of Robotics Summit, Cambridge, MA, December 13, 2013
  • Artificial Intelligence As a Service. Invited talk, Defrag, Broomfield, CO, Nov 4-6, 2013
  • Smart Robots In Space. Invited talk, Boston Science Museum, "Mars and Beyond", Boston, 9/1/2013
  • Intelligent machine or bust. Invited talk, Talks In Cognitive Science (TICS) Series, University of Massachusetts Boston, MA, USA.
  • Lecture in Visual Perception, CN550, December 2012, Boston University.
  • Intelligent machine or bust. Invited talk, Wellman Center for Photomedicine, Harvard University, Boston, MA, USA.
  • Intelligent machine or bust. ICCNS 2012, Boston, MA, USA, 2012.
  • Learning and information processing in computational models of the cerebral cortex. Invited talk, Northeastern University, 2012.
  • Innovazione, Scienza, e Tecnologia. Keynote talk, Inno.Vision, Rome, November 2011.
  • Intelligent machine or bust. Invited plenary talk, CLION 2011, Memphis, TN, USA.
  • Brain-inspired computing. Invited talk, The Krasnow Institute, George Mason University, Fairfax, VA, USA.
  • Brain-inspired computing. Invited talk, The BioRobotics Institute, ScuolaSuperioreSant’Anna, Pisa,Italy, August 2011.
  • (2011) Brain-inspired computing. Invited talk, MITRE, MA, USA. July 2011.
  • Brain-inspired computing. Invited talk, IS&T Mini Symposium on Neural Computation, Los Alamos National Lab, Los Alamos, NM, USA, April 2011.
  • Brain-inspired computing. Invited Talk, Mitsubishi Electric BAE Systems, Burlington, MA, USA, April 2011(With Ben Chandler)
  • Brain-inspired computing. Invited talk, iRobot Corporation, Bedford, MA, USA. July 2010.
  • Brain-inspired computing. Invited keynote address, Bionetics 2010, Boston, MA, USA.
  • Brain-inspired computing. NSF SLC PI meeting, Washington DC, USA. October 2010.
  • Brain-inspired computing. DARPA NEST, San Diego, USA.November 2010.
  • Neural design for nanochip applications. DARPA SyNAPSE site visit, Palo Alto, CA. August 2010.
  • Brain-inspired computing. iSLC meeting, Boston, MA, USA. June 2010.
  • The DarpaSyNAPSE project at Boston University. DARPA SyNAPSE site visit, Palo Alto, CA. March 2010.
  • Brain-inspired computing. NSF CELEST site visit, Boston, MA. March 2010.
  • Plastic synapses in a stable brain. Invited talk, Qualcomm, CA, USA. January 2010.
  • Modeling the visual system with spiking neurons. Oral presentation, CN530, Department of Cognitive and Neural Systems, Boston, MA, USA. December 2009.
  • Careers outside of academia: An introduction to industry.  Oral presentation and meeting chairman, First Annual CELEST Career Day, Boston, MA, USA. June 2007.
  • Neural network applications in home automation.  Invited talk, McPerson, Cordenons, Italy. August 2006. (with Heather Ames and AnatoliGorechetchnikov).
  • Learning and cognitive information processing in thalamocortical assemblies: unifying spikes, synchronous oscillations, and resonance. Oral presentation, International Conference on Cognitive and Neural Systems Abstract (ICCNS 2006), Boston, MA, USA.July 2006.
  • KInNeSS: A software environment for simulations of neuronal activity. Invited talk, Department of Psychology, University of Padova, Italy. June 2005.
  • Learning, recognition, attention and resonance: from biology to applications. Invited talk, Accenture, Sophia Antipolis, France. June 2005.
  • Learning, recognition, attention and resonance: from biology to applications. Invited talk, Accenture, Chicago, USA. May 2005.
  • Optimizing Financial Applications through Biologically-inspired Methods. Oral presentation, International Conference on Financial Engineering and Application (FEA 2004), Cambridge, MA, USA. October 2004.
  • A feedback neural network model for brightness perception: some preliminary results. Invited talk, Department of Psychology, University of Padova, Italy. March 2001.

Teaching and Mentoring Experience

  • CN810: Topics in Adaptive Mobile Robotics, Boston University (Fall 2010, 2011; Lecturer)
  • CN510: Introduction to Computational Modeling, Boston University (Fall 2002; Teaching Fellow)
  • Perceptual Psychology, University of Trieste (Fall, 1999; 2000; Lecturer)

Student Mentoring

PhD advisees

  • Byron Galbraith (Boston University)
  • JasminLéveillé (Boston University, 2010)
  • Jesse Palma     (Boston University)
  • Sean Patrick (Boston University)
  • Charles Wong   (Boston University, 2011)

MA advisees

  • Fei He (Boston University)
  • Andrea Vassallo (University of Udine, Italy, 2007)

Leadership and Student Outreach

 

  • Chairman of the organizing committee of the first CELEST Career Day event at the Department of Cognitive and Neural Systems at Boston University (October2007)Member of the organizing committee of the 9thMIT European Career Fair (August 2005)
  • Chair of the organizing committee of the ICCNSpostdoc and student-organized workshop, May 2008, 2009.
  • Leadership role in the organizing committee of the 2010 NSF sponsored Inter-Science of Learning Centers (iSLC) workshop

Media Coverage

IEEE Spectrum (12/2/2010), Inno.Vision (30/11/2011) New Scientist (8/20/2011), Slate.com (8/26/2011), CNN (7/25/2011), Il Sole 24 Ore (3/3/2011), AZoRobotics (7/19/2011), Il Piccolo (7/11/2011), Live Science (6/5/2011), BU ECE News (4/19/2011), Popular Science (1/2/2011), Slashdot (12/3/2010), Popular Science (12/3/2010), Robotics News (11/30/2010), Boston Innovation (11/29/2010), BU Arts&Science Magazine (10/31/2011), AMD Press Release (6/16/2008), Neurala(4/8/2008)

Blog

www.neurdon.com  (co-founder and editor)

Professional Memberships

 

  • Member of the Advisory board, Massachusetts Robotics Sector Analysis (Massachusetts Executive Office of Housing and Economic Development – EOHED- and the Massachusetts Technology Collaborative - MassTech)
  • IEEE Society
  • International Neural Network Society
  • Society for Neuroscience


External Reviewer

  • Technical Program Committee of International Workshop on Neuromorphic and Brain-Based Computing Systems (NeuComp 2013)
  • NSF Engineering Research Centers (2011)Pennsylvania Department of Health (2010-2011)
  • Netherlands Foundation for Fundamental Research on Matter, FOM (2009)
  • Cognitive Computation
  • Robotics and Autonomous Systems
  • IEEE International Joint Conference on Neural Networks (IJCNN 2010)
  • IEEE Transactions on Neural Networks
  • IEEE Transactions on Image Processing
  • Neural Networks
  • Neural Networks, “Brain Disorders” special issue
  • International Journal of Neural Systems
  • Intelligent Systems in Accounting, Finance and Management
  • Spatial Vision, Special Issue on Vision Science and Art
  • Computer Methods and Programs in Biomedicine
  • Handbook of Applied Spatial Analysis (Springer, Edited by Manfred M. Fischer and Arthur Getis)
  • NSF-sponsored Inter Science of Learning Centers Workshop (iSLC 2008)
  • IEEE International Symposium on Circuits and Systems (ISCAS)
  • International Conference on Financial Engineering and Application (FEA 2004)

Conference Presentations

  • Palma, J., Gorchetchnikov, A., and Versace, M. (2012) A thalamocortical circuit that manages sparse coding through match-based learning with acetylcholine. Cosyne 2013 Abstract.
  • Patrick, S., Versace, M., Gorchetchnikov, A., and Bullock, D. (2012) A model for the learned transfer of behavioral control among competing strategies. Cosyne 2013 Abstract.
  • Sherbakov, L., Livitz, G., Sohail, A., Gorchetchnikov, A., Mingolla, E., and Versace, M. (2012) A computational model of the role of eye-movements in object disambiguation. Cosyne 2013 Abstract.
  • Galbraith B.V., Brumberg J.S., Lorenz, S.D., Versace, M., and Guenther F.H. (2012). Unlock: A Python-based framework for rapid development of practical brain-computer interface applications. Poster presentation, 11th Annual Python In Science Conference, Austin, TX, July 19, 2012.
  • Galbraith B., Versace M., and Chandler B. (2011) Asimov: Middleware for Modeling the Brain on the iRobot Create. Submitted to PyCon, Atlanta, March 11-13th 2011.
  • Raudies, F., Eldridge, S., Joshi, A., Versace, M. (2011) Reinforcement learning for visual navigation. NSF SLC PI meeting, Washington DC, November 2011.Eldridge, S., Joshi, A., Raudies, F., Versace, M. (2011) A Neuromorphic Hardware that Learns to Navigate Based on Optic Flow. Mark Motter NASA visit, Boston, MA March 31, 2011
  • Raudies, F.,  Joshi, A., Versace, M., Ericson vist, Boston, MA, May 3, 2011.
  • Raudies, F., Joshi, A., Versace, M. (2011) Neuromorphic Hardware for the Computation of Optic Flow. NSF site visit, June 13, 2011.
  • Eldridge, S., Joshi, A., Raudies, F., Versace, M. (2011) Optic Flow FPGA Demonstration. Jay Myung USAF AFMC visit, Boston, MA, October 27, 2011.
  • Eldridge, S., Joshi, A. (2011) Autonomous Robotics. EK131/132 Freshman Presentation, Boston, MA, September 28, 2011 and November, 2011.
  • Raudies, F., Eldridge, S., Joshi, A., Versace, M. (2001) Reinforcement Learning for Visual Navigation. NSF PI meeting in December, 6, 2011 (talk).
  • Chandler, B., Gorchetchnikov, A., Léveillé, J., Livitz, G., Eldridge, S., Raudies, F., Galbraith, B., Michalka, S., Joshi, A., Ames, H., Mingolla, E., and Versace, M. (2011) Designing autonomous adaptive agents. NSF CELEST site visit, Boston, MA, June 2011.
  • Léveillé, J., Hayashi, I., Fukushima, K. and Versace, M. (2011) Onlinecompetitive incremental-decremental clustering with the Winner-Kill-Loser rule. Neuroinformatics 2011, Boston, MA.
  • Léveillé, J., Livitz, G., Ames, H., Chandler, B., Gorchetchnikov, A., Versace, M., Mingolla, E. and Snider, G. (2011) Learning to see in a virtual world. Neuroinformatics 2011, Boston, MA.
  • Léveillé, J., Ames, H., Chandler, B., Gorchetchnikov, A.,Livitz, G., Versace, M., and Mingolla, E. (2011) Object recognition and localization in a virtual animat: large-scale implementation in dense memristive memory devices. IJCNN 2011, San Jose, CA, USA.
  • Léveillé, J., Ames, H., Chandler, B., Gorchetchnikov, A., Livitz, G., Versace, M., and Mingolla, E. (2011) Invariant object recognition and localization in a virtual animat. ICCNS 2011, Boston, MA, USA.
  • Livitz, G., Ames, H., Chandler, B., Gorchetchnikov, A., Léveillé, J., Versace, M., and Mingolla, E. (2011) Visually-Guided Adaptive Robotic Agent (ViGuAR). ICCNS 2011, Boston, MA, USA.
  • Galbraith, B., Versace, M., and Chandler, B. (2011) Asimov: Middleware for Modeling the Brain on the iRobot Create. PyCon, Atlanta, March 11-13th 2011.
  • Gorchetchnikov, A., Ames, H., Chandler, B., Léveillé, J., Livitz, G., Mingolla, E., and Versace, M. (2011) General Form of Learning Algorithms for Neuromorphic Hardware. Computational Neuroscience Annual Meeting, July 27, San Antonio, TX, USA.
  • Gorchetchnikov, A., Ames, H., Chandler, B., Léveillé, J., Livitz, G., Mingolla, E., and Versace, M. (2010)General form of learning algorithms for neuromorphic hardware implementation. CELEST Neural Plasticity Workshop, July 13, Boston, MA, USA.
  • Gorchetchnikov, A., Ames, H., Chandler, B., Léveillé, J., Livitz, G., Mingolla, E., and Versace, M. (2010) MoNETA: Modular Neural Exploring Traveling Agent. Functional Connections workshop, CELEST, Boston, October 2010.
  • Gorchetchnikov, A., Versace, M., Ames, H., Léveillé, J., Yazdanbakhsh, A., Chandler, B., Mingolla, E., Snider, G. (2010) General form of learning algorithms for neuromorphic hardware implementation. The international Computational Neuroscience meeting (CNS), San Antonio, TX, July 2010.
  • Versace, M., Gorchetichnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. (2010) How to build a brain on a nanochip. iSLC 2010, Boston, MA, May 2010.
  • Versace, M., Gorchetichnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. (2010) How to build a brain on a nanochip. NSF CELEST site visit, Boston, MA, March 2010.
  • Versace, M., Gorchetchnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. (2010) Neural design for nanochip applications. DARPA SyNAPSE site visit, Palo Alto, MA, March 2010.
  • Ames, H.M., and Versace, M. (2010)Institutionalizing translational research practices with the CELEST Catalyst. NSF CELEST site visit, Boston, MA, March 2010.
  • Léveillé, J., Versace, M., and Grossberg, S. (2010) How do object reference frames and motion vector decomposition emerge in laminar cortical circuits? ICCNS 2010, Boston, MA, USA.
  • Versace, M., Ames, H., Chandler, B., and Lorenz, S. (2010)Applied brain-based learning models. ICCNS 2010, Boston, MA, USA.
  • Wong, C., and Versace, M. (2010) Putting the Dollars and Sense Back into Financial Forecasting with Neural Networks. ICCNS 2010, Boston, MA, USA.
  • Léveillé, J., Versace, M., Grossberg, S. (2010)From motion to object: How Visual Cortex Does Motion Vector Decomposition to Create Object-Centered Reference Frames? Vision Science Society (VSS 2010), Naples, USA.
  • Léveillé, J., Versace, M., and Grossberg, S. (2009) How do object reference frames and motion vector decomposition emerge in laminar cortical circuits? Society for Neuroscience (SFN 2009), Chicago, USA.
  • Léveillé, J., Versace, M., and Grossberg, S. (2009)How laminar visual cortical circuits create object reference frames using motion vector decomposition. Conference on Computational Cognitive Neuroscience (CCNC 2009), Boston, USA.
  • Léveillé, J., Versace, M., and Grossberg, S. (2009)How do object reference frames and motion vector decomposition emerge in laminar cortical circuits? Society for Neuroscience Abstract (SFN 2009), Chicago, USA.
  • Léveillé, J., Versace, M., and Grossberg, S. (2009) How do object reference frames and motion vector decompositions emerge from multiple moving targets? ECVP 2009, Germany.
  • Léveillé, J., Versace, M., and Grossberg, S. (2009) Spiking dynamics during perceptual grouping in the laminar circuits of visual cortex. Boston University Science and Engineering Day, 2009, Boston, MA, USA.
  • Ames, H., Versace, M., and Gorchetchnikov, M. (2009) How can computational neuroscience benefit real world technological applications. iSLC 2009, Seattle, WA, USA
  • Palma, J., Versace, M., and Grossberg, S. (2009)After-hyperpolarization Currents Control Sigmoid Transfer Functions in a Spiking Cortical Model. ICCNS 2009, Boston, MA, USA.
  • Léveillé, J., Grossberg, S., Mingolla, E., and Versace, M. (2008)Perceptual grouping in a spiking laminar cortical model. VSS 2008, Naples, FL, USA.
  • Ames, H., Versace, M., and Gorchetchnikov, M. (2008) Learning technologies: embedding CELEST models in real world application. NSF SLC PI meeting abstract, Washington, DC (NSF SLC 2008)
  • Léveillé, J., Grossberg, S., Mingolla, E., and Versace, M. (2008) Spiking dynamics of perceptual grouping in the laminar circuits of visual cortex. ICCNS 2008, Boston, MA, USA.
  • Gorchetchnikov, M., Ames, H. and Versace, M. (2008) Simulating Biologically Realistic Neural Models on Graphic Processing Units. ICCNS 2008, Boston, MA, USA.
  • Versace, M, Ames, A., Léveillé, J., Fortenberry, B., and Gorchetchnikov, A. (2008) KInNeSS: A modular framework for computational neuroscience. ICCNS 2008, Boston, MA, USA.
  • Versace, M. (2008) From spikes to objects: How multiple levels of thalamic and cortical interactions control visual learning, attenion and recognition.  Boston University Science and Engineering Research Symposium: Science Day 2008, Boston, MA, USA.
  • Versace, M. (2008) Spikes, synchrony, and attentive learning by laminar thalamocortical circuits.  NSF inter-Science of Learning Center (iSLC) Conference, Pittsburgh, PA, USA.
  • Versace, M. (2007) Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. 3rd Annual Conference on Computational Cognitive Neuroscience (CCNC 2007), San Diego, CA, USA.
  • Versace, M. (2007) Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Coherent Behavior in Neuronal Networks Workshop (CoBeNN 2007), Palma de Mallorca, Spain.
  • Versace, M. (2006) From spikes to interareal synchrony: how attentive matching and resonance control learning and information processing by laminar thalamocortical circuits. NSF Science of Learning Centers PI Meeting, Washington, DC, USA.
  • Versace, M. (2006) From spikes to interareal synchrony: how attentive matching and resonance control learning and information processing by laminar thalamocortical circuits. Society for Neuroscience Abstract (SfN 2006), Atlanta, GA, USA.
  • Versace, M. (2006) From spikes to interareal synchrony: how attentive matching and resonance control learning and information processing by laminar thalamocortical circuits. NSF Science of Learning Centers Satellite Symposium at the Society for Neuroscience Abstract (SfN 2006), Atlanta, GA, USA.
  • Versace, M.(2006) Learning and Cognitive Information Processing in Thalamocortical Assemblies: Unifying Spikes, Synchronous Oscillations, and Resonance. International Conference on Cognitive and Neural Systems Abstract  (ICCNS 2006), Boston, MA, USA.
  • Versace, M. (2006) From Spikes to Objects: How Multiple Levels of Thalamic and Cortical Interactions Control Visual Learning, Attention and Recognition. Vision Science Society Abstract (VSS 2006), Sarasota, FL, USA.
  • Versace, M. (2005) Temporal binding and resonance in thalamocortical assemblies: learning and cognitive information processing in a spiking neuron model. Society for Neuroscience Abstract (SfN 2005), Washington, DC, USA.
  • Versace, M., Gorchetchnikov, A., and Grossberg, S.(2005) Applying the Methods of Experimental Data Visualization to Neuronal Simulations. International Conference on Cognitive and Neural Systems Abstract (ICCNS 2005), Boston, MA.
  • Bhatt, R., and Versace, M. (2004) Default ARTMAP with self-adjusting learning rate. International Conference on Cognitive and Neural Systems Abstract (ICCNS 2004), Boston, MA, USA.
  • Gorchetchnikov, A., and Versace, M.(2004) KInNeSS: A new software environment for simulations of neuronal activity. International Conference on Cognitive and Neural Systems Abstract (ICCNS 2004), Boston, MA, USA

Collaborators (partial list, past and current)

  • Heather Ames, Boston University
  • Rushi Bhatt, Yahoo Inc., Bangalore, India
  • Gail Carpenter, Boston University
  • Alvise Casella, SATA HTS, Udine, Italy
  • Ben Chandler, Hewlett-Packard
  • Bret Fortenberry, Intellisys
  • Byron Galbraith, Boston University
  • AnatoliGorchetchnikov, Boston University
  • Stephen Grossberg, Boston University
  • Michael Hasselmo, Boston University
  • Oliver Hinds, Massachusetts Institute of Technology
  • Ajay Joshi, Boston University
  • JasminLéveillé, Boston University
  • Sean Lorenz, Boston University
  • EnnioMingolla, Boston University
  • Jesse Palma, Boston University
  • Sean Patrick, Boston University
  • Florian Raudies, Boston University
  • FabrizioSantini, Kiva Systems, Woburn, MA
  • Greg Snider, Hewlett-Packard
  • Charles Wong, Boston University
  • Donald Wunsch, Missouri University
  • Marco Zorzi, University of Padova, Italy

 

Collaborators

I am the leader of the Neuromorphics Lab, a highly collaborative lab with connections across both academia and industry.