Predicting the synaptic information efficacy in cortical layer 5 pyramidal neurons using a minimal integrate-and-fire model

Biological Cybernetics

Volumn 99, Issue 4-5, 2008, Pages 393-401

  London, Michael ^a   Larkum, Matthew E ^b   Häusser, Michael ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF BERN   (Switzerland)

Author keywords

Layer 5 cortical pyramidal neuron; Linear integrate and fire model; Predicting every spike; Synaptic information efficacy

Indexed keywords

FORECASTING; LOCOMOTIVES; NEURAL NETWORKS; NEURONS; RAILROAD CARS;

BACKGROUND CURRENTS; CORTICAL LAYERS; DYNAMIC STIMULUS; IN VITRO; INPUT SPIKE TRAINS; INTEGRATE AND FIRES; LAYER 5 CORTICAL PYRAMIDAL NEURON; LINEAR INTEGRATE-AND-FIRE MODEL; MINIMAL MODELS; MUTUAL INFORMATIONS; NEURONAL NETWORKS; POSTSYNAPTIC NEURONS; PREDICTING EVERY SPIKE; PYRAMIDAL NEURONS; REDUCED MODELS; SIMPLE MODELS; SINGLE NEURONS; SPIKE TRAINS; STATISTICAL MEASURES; SYNAPTIC INFORMATION EFFICACY; SYNAPTIC INPUTS;

MILITARY OPERATIONS;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN CORTEX; ORGAN CULTURE TECHNIQUE; PATCH CLAMP; PHYSIOLOGY; PYRAMIDAL NERVE CELL; RAT; SPRAGUE DAWLEY RAT; SYNAPTIC TRANSMISSION;

ANIMALS; CEREBRAL CORTEX; MODELS, NEUROLOGICAL; ORGAN CULTURE TECHNIQUES; PATCH-CLAMP TECHNIQUES; PYRAMIDAL CELLS; RATS; RATS, SPRAGUE-DAWLEY; SYNAPTIC TRANSMISSION;

EID: 56449118134     PISSN: 03401200     EISSN: 14320770     Source Type: Journal    
DOI: 10.1007/s00422-008-0268-3     Document Type: Article

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