SPECIAL SESSIONSpecial Session 43: Stochastic Networks with Applications to Neuroscience

First Page		Document Content
Date: 2012-06-23 07:34:46 Neuroscience Nervous system Computational neuroscience Biology Artificial neural networks Neural networks NEST Hopfield network Biological neural network Neural coding Bursting Neuron		SPECIAL SESSIONSpecial Session 43: Stochastic Networks with Applications to Neuroscience Add to Reading List Source URL: www.aimsciences.org Download Document from Source Website File Size: 470,39 KB Share Document on Facebook

	Similar spatial patterns of neural coding of category selectivity in FFA and VWFA under different attention conditions DocID: 1vqny - View Document
	Clinical Science, 2329–2340 doi: CS20160686 Genetic analysis of rare coding mutations of CELSR1–3 in congenital heart and neural tube defects in Chinese people Xiaojin Qiao†1 , Yahui Liu†1 , DocID: 1uFdJ - View Document
	Signal Modeling: From Convolutional Sparse Coding to Convolutional Neural Networks Vardan Papyan The Computer Science Department Technion – Israel Institute of technology DocID: 1umIE - View Document
	A Bayesian model for identifying hierarchically organised states in neural population activity Patrick Putzky1,2,3 , Florian Franzen1,2,3 , Giacomo Bassetto1,3 , Jakob H. Macke1,3 1 Max Planck Institute for Biological Cy DocID: 1rs52 - View Document
	Berkeley summer course in mining and modeling of neuroscience data July 11-22, 2016 Redwood Center for Theoretical Neuroscience, UC Berkeley Organizers: Fritz Sommer, Bruno Olshausen & Jeff Teeters (HWNI, UC Berkeley) DocID: 1rgXB - View Document