The ground state of cortical feed-forward networks

Neurocomputing

Volumn 44-46, Issue , 2002, Pages 673-678

  Tetzlaff, Tom ^a   Geisel, Theo ^a   Diesmann, Markus ^a  

^a MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

Author keywords

Pulse packet; Rate model; Spike pattern; Spike synchronization; Synfire chain

Indexed keywords

BRAIN; CELLS; COMPUTER SIMULATION;

GROUND STATES;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN CORTEX; CELL SIZE; CELL SYNCHRONIZATION; CONTROLLED STUDY; NERVE CELL EXCITABILITY; NERVE CELL MEMBRANE STEADY POTENTIAL; POSITIVE FEEDBACK; PRIORITY JOURNAL; STATISTICAL MODEL;

EID: 18244424967     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(02)00456-3     Document Type: Article

References (8)

1. Model of global spontaneous activity and local structured activity during delay periods in the cerebral cortex
2. Dynamics of ongoing activity: Explanation of the large variability in evoked cortical responses
3. Conditions for stable propagation of synchronous spiking in cortical neural networks
4. State space analysis of synchronous spiking in cortical neural networks
5. On the transmission of rate code in long feed-forward networks with excitatory-inhibitory balance
6. Spatiotemporal structure of cortical activity: Properties and behavioral relevance
7. An outline of theoretical and algorithmic approaches to first passage time problems with applications to biological modeling