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Kanaka Rajan
Dynamic Compression and Expansion in a Classifying Recurrent Network
Dynamics of Excitatory-Inhibitory Neuronal Networks With
COSYNE 2014 Workshops
Predictive Coding in Balanced Neural Networks with Noise, Chaos and Delays
COSYNE 2012 Workshops February 27 & 28, 2012 Snowbird, Utah
Minian: an Open-Source Miniscope Analysis Pipeline
Neuronal Ensembles Wednesday, May 5Th, 2021
11:30Am EST Joshua Gordon, NIMH Director Neural Mechanisms Of
How to Study the Neural Mechanisms of Multiple Tasks
Arxiv:1907.08549V2 [Q-Bio.NC] 4 Dec 2019 1 Introduction
Spike-Timing-Dependent Ensemble Encoding by Non-Classically
Multi-Region 'Network of Networks' Recurrent Neural Network Models of Adaptive and Maladaptive Learning
ACNP 59Th Annual Meeting: Poster Session III
Neural Network Dynamics
Efficient and Robust Multi-Task Learning in the Brain with Modular Task Primitives
UC Berkeley UC Berkeley Previously Published Works
Inferring Brain-Wide Interactions Using Data-Constrained Recurrent Neural Network Models
Full-FORCE: a Target-Based Method for Training Recurrent Networks
Top View
Interpreting Deep Learning: the Machine Learning Rorschach Test?
Hebbian Plasticity Requires Compensatory Processes on Multiple Timescales
Inferring Stimulus Selectivity from the Spatial Structure of Neural Network Dynamics
How to Study the Neural Mechanisms of Multiple Tasks
Arxiv:2011.13492V1 [Cs.LG] 26 Nov 2020
1 Kanaka Rajan
Inferring Brain-Wide Interactions Using Data-Constrained Recurrent Neural Network Models
Towards an Integration of Deep Learning and Neuroscience
CONEUR RNN Paper
Stable Thalamocortical Learning Between Medial-Dorsal Thalamus and Cortical Attractor Networks Captures Cognitive Flexibility
07:00 AM NIH BRAIN Initiative
Recurrent Network Models of Sequence Generation and Memory
About Cosyne
The Friedman Brain Institute
Pathways to the Future OFFICERS Francine M