computational NEUROSCIENCE

ya
One of the main goals of modern neuroscience is to understand how organisms adapt to their environment and what brain mechanisms subserve this process. My research focuses on investigating how the brain learns and retains useful information through biophysically-realistic mathematical simulations of large-scale neural systems.

ya Tutorials

 

- What is a neuron, anyway? A post on neurdon.com, in collaboration with Robert Kozma, that describes a very basic neuron spiking neuron model and provides MATLAB code for download [2009]

- The CNS Tech Lab software repository. Provides a number of software for download, ranging from machine vision, to machine learning, to neural modeling, completed of MATLAB source code and documentation. [2009]

ya Papers

 

- The role of dopamine in the maintenance of working memory in prefrontal cortex neurons: input-driven versus internally-driven networks. Versace, M., Zorzi, M. In press, International Journals of Neural Systems.Download the PDF version [2010]

- Running as fast as it can: how spikes form object groupings in the laminar circuits of visual cortex? Leveille, J., Versace, M., Grossberg, S. Journal of Computational Neuroscience Apr;28(2):323-46. Download the PDF version [2010]

- Spikes, synchrony, and attentive learning by laminar thalamocortical circuits. Grossberg, S., and Versace, M. Brain Research, 1218, 278 – 312. Download the PDF version. [2008]

- A model of STDP based on spatially and temporally local information: Derivation and combination with gated decay. Gorchetchnikov A, Versace M, and Hasselmo M. Neural Networks, 2005 Jun-Jul;18(5-6):458-66. Download the PDF version. [2005]

- Spatially and Temporally Local Spike-Timing-Dependent Plasticity Rule. Gorchetchnikov, Versace and Hasselmo. Oral presentation and proceedings, International Joint Conference on Neural Networks (IJCNN 2005). Download the PDF version. [2005]

ya Abstracts

 

- General form of learning algorithms for neuromorphic hardware implementation. Anatoli Gorchetchnikov, Massimiliano Versace, Heather Ames, Jasmin Leveille, Arash Yazdanbakhsh, Ben Chandler, Ennio Mingolla, Greg Snider. The international Computational Neuroscience meeting (CNS), San Antonio, TX, July 2010. [2010]  

- How to build a brain on a nanochip. Versace, M., Gorchetichnikov, A., Chandler, B., Kozma, R.T., Ames, H.M., and Mingolla, E. NSF CELEST site visit, Boston, MA, March 2010. [2010]

- How do object reference frames and motion vector decomposition emerge in laminar cortical circuits? Leveille, J., Versace, M., Grossberg, S. (2010). ICCNS 2010, Boston, MA, USA. [2010] See abstract.

- From motion to object: From motion to object: How Visual Cortex Does Motion Vector Decomposition to Create Object-Centered Reference Frames? Leveille, J., Versace, M., Grossberg, S. (2010). Vision Science Society (VSS 2010), Naples, USA. [2010]

- How do object reference frames and motion vector decompositions emerge from multiple moving targets? Jasmin Leveille, Massimiliano Versace, Stephen Grossberg. ECVP 2009, Germany [2009] See abstract.

- How can computational neuroscience benefit real world technological
applications.
Heather Ames, Massimiliano Versace, and Anatoli Gorchetchnikov.  iSLC 2009, Seattle, WA, USA [2009]

- After-hyperpolarization Currents Control Sigmoid Transfer Functions in a Spiking Cortical Model. Jesse Palma, Massimiliano Versace and Stephen Grossberg.  ICCNS 2009, Boston, MA, USA [2009] See abstract.

- Perceptual grouping in a spiking laminar cortical model. Jasmin Leveille, Stephen Grossberg, Ennio Mingolla, and Massimiliano Versace.  VSS 2008, Naples, FL, USA [2008]

- Spiking dynamics of perceptual grouping in the laminar circuits of visual cortex. Jasmin Leveille, Stephen Grossberg, Ennio Mingolla, and Massimiliano Versace.  See abstract. ICCNS 2008, Boston, MA, USA [2008]

- Spikes, synchrony and attentive learning by thalamocortical circuits . Versace M, and Grossberg, S. CCNC, San Diego, CA, November 2007, Poster. [2007]

- Spikes, synchrony and attentive learning by thalamocortical circuits . Versace M, and Grossberg, S. COBENN, Palma de Mallorca, Spain, October 2007, Poster. [2007]

- From spikes to interareal synchrony: how attentive matching and resonance control learning and information processing by laminar thalamocortical circuits. Versace, M. and Grossberg, S. Society for Neuroscience Abstract, Atlanta, GA., Program No. 65.11/Z12. [2006]

- Learning and Cognitive Information Processing in Thalamocortical Assemblies: Unifying Spikes, Synchronous Oscillations, and Resonance. Versace M, and Grossberg, S. ICCNS , May 2006, Oral Presentation. See abstract. [2006]

- From Spikes to Objects: How Multiple Levels of Thalamic and Cortical Interactions Control Visual Learning, Attenion and Recognition. Versace M, Grossberg, VSS, Poster, May 2006. See abstract. [2006]

- Temporal binding and resonance in thalamocortical assemblies: learning and cognitive information processing in a spiking neuron model . Versace M, Grossberg, S. Society for Neuroscience, Poster, October 2005. See abstract. [2005]

ya PhD dissertation and presentations

 

- Plastic synapses in a stable brain. Versace, M. (2010) Invited talk, Qualcomm, CA, USA. [2010] Link to the talk.

- Laminar circuits for synchronous thalamocortical information processing and attentive stable learning by spiking neurons. PhD Thesis, Boston University. [2007]

ya Code

 

- SMART networks and stimuli. Supplementary material to Brain Research, submitted in December 2007 [2007]

computational neuroscience
neuroinformatics
applications