Neuroscience

Ari Pakman – Fast Penalized State-space Methods for Inferring Dendritic Synaptic Connectivity, 05/01/2012

Speaker: Ari Pakman (Columbia University) Title: Fast Penalized State-space Methods for Inferring Dendritic Synaptic Connectivity When: Tuesday, May 1, 2012 Time: 11:30 am Where: Simons Center, Lecture Hall 102 Abstract: We present fast methods for filtering voltage measurements and performing optimal inference of the location and strength of synaptic connections in large dendritic trees. Given noisy, subsampled … Read more

Maurizio Mattia, Collective Dynamics of Interacting Spiking Neurons: From Theory to Experiments

Speaker: Maurizio Mattia (Department of Technologies and Health, Istituto Superiore di Sanità) Title: Collective Dynamics of Interacting Spiking Neurons: From Theory to Experiments When: Monday, April 16, 2012 Time: 11:30 am Where: Simons Center, Lecture Hall 102 Abstract: The computational capabilities of the nervous system are the result of nonlinear dynamics emerging from the exchange among neurons of … Read more

Claudia Clopath – Modeling cerebellar learning, 03-27-2012

Speaker: Claudia Clopath (Columbia University) Title: Modeling cerebellar learning When: Tuesday, March 27, 2012 Time: 11:30AM Where: Simons Center, Lecture Hall 102 Abstract: Purkinje cells (PCs) of the cerebellar cortex have long been considered to perform similarly as perceptrons: Given an input pattern in the granular layer, they should learn to provide an adequate motor … Read more

Yashar Ahmadian – Interplay of Random and Structured Connectivity in the Dynamics of Neural Networks

Speaker: Yashar Ahmadian (Columbia University) Title: Interplay of Random and Structured Connectivity in the Dynamics of Neural Networks When: Tuesday, March 6, 2012 Time: 11:30 am Where: Simons Center, Third Floor, Seminar Room 313 Abstract: Synaptic connectivity of neural circuits may range from completely disordered to very structured. Common hypotheses are that high level areas such … Read more

Paul Adams – Neocortical Machinery for Understanding the World

Speaker Paul Adams (dept. of Neurobiology and Behavior, Stony Brook University) Title: Neocortical Machinery for Understanding the World When: Wednesday, September 14, 2011 Time: 11:30 am Where: Simons Center, Third Floor, Seminar Room 313

Konstantin K. Likharev – CrossNets: Possible Nanoelectronic Neuromorphic Networks

Computational Neuroscience Journal Club Wednesday July 13 at 11:30 in room 313 Speaker: Konstantin K. Likharev Department of Physics and Astronomy, Stony Brook University Title: CrossNets: Possible Nanoelectronic Neuromorphic Networks PDF of presentation Abstract: I will review recent work on devices, circuits and architectures for possible hybrid CMOS/nanoelectronic integrated circuits based on nanowire crossbars, with … Read more

Ari Pakman – Tutorial on Machine Learning Methods for Neuroscience

by Ari Pakman (Brown University)   We will review at an elementary level some statistical methods useful in the analysis of spike train data. No background needed beyond basic probability. Wednesday June 15th 11:30-1:00, Simons Center for Geometry and Physics, Room 313 Lecture 1: The neural encoding problem Action potentials and spike trains. Poisson and … Read more

Giancarlo La Camera, PhD – Selected problems in learning and decision making

Computational Neuroscience Journal Club Wednesday at 1130 in room 313  First episode: Today’s talk see below May 11th at 11:30am in the Simons Center for Geometry and Physics Room 313  PDF of presentation video part 1 video part 2 Speaker: Giancarlo La Camera, PhD Dept. Neurobiology and Behavior Life Sciences Bldg 513 SUNY Stony Brook Title: Selected problems … Read more