The synaptic organization of the brain: An introduction

By Gordon M. G. Shepherd. 1974

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An objective function for STDP (2015, background): “In deriving a link between STDP and their ratebased learning rule Xie and Seung (2000) started by assuming a particular pattern relating spike timing and weight change, and then showed that the resulting weight change could be approximated by the product of presynaptic firing rate and temporal rate ”
An integrated approach to classifying neuronal phenotypes (2005, background): “In modern terms these are characterized as projection neurons and interneurons, respectivel”
Conjunctive input processing drives feature selectivity in hippocampal CA1 neurons (2015, methodology): “(1) LFP recordings from periods during which the animal did not run were concatenated and subsequently band pass filtered between 100 and 250 Hz using an FIR filter.”
State-dependent computations: spatiotemporal processing in cortical networks (2009, background): “Indeed, the fact that there are over 5×10 10 granule cells in the human cerebellu”
Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (2006, background): “Anatomically, the thalamic system consists of three major types of neurons: thalamocortical (TC) neurons that relay signals into the neocortex, reticular thalamic nucleus (RTN) neurons and thalamic interneurons that provide local reciprocal inhibition (Shepherd 2004).”
From the neuron doctrine to neural networks (2015, background): “…evidence to support the notion that most neural circuits, particularly in the mammalian brain, are built with a distributed connectivity: that is, as a connectivity matrix in which each neuron receives inputs from many other neurons while sending its outputs to large populations of cells 48,49 .”