In this issue of the Newsletter

Outreach Lectures – Book Talks

Chris Quigg in Conversation with George Sterman. Grace in All Simplicity: Beauty, Truth, and Wonders on the Path to the Higgs Boson and New Laws of Nature Robert P. Crease. The Leak: Politics, Activists, and Loss of Trust at Brookhaven National Laboratory

Moduli

By Steven Bradlow, Daniel Halpern-Leistner, Victoria Hoskins, Margarida Melo, and Anna Wienhard  

Brownian Motion and Dirichlet Zeros

By Giuseppe Mussardo Professor of Theoretical Physics, SISSA (Trieste)  

Topological Quantum Computing, September 12 – 16, 2011

We are pleased to announce the upcoming workshop, Quantum: Topology, Information, Computation, to be held at Stony Brook University from September 12 through September 16, 2011. Quantum has become ubiquitous in topology, information, and computation. The central theme of the workshop evolves around mathematical and scientific challenges in the topological approach to building a large-scale … Read more

Neuromorphic Networks

An interview with Konstantin Likharev. He joined the Stony Brook Physics Department in 1991, after a long and successful career at Moscow State University. He is a pioneer in nano-electronics and the developer of CrossNets, a new kind of chip that could change the way we think about computers.

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

holographic gravity

An interview with Rajesh Gopakumar. He got his PhD from Princeton, under the supervision of David Gross, and he is now at the Harish-Chandra Institute for Theoretical Physics in Allahabad, India.

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