Information Transformation from a Spatiotemporal Pattern to Synchrony
I recently reported here on feed forward models of spiking neurons. Here is a follow up about an interesting recurrent[…]
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Communication through coherence
Synaptic inputs that are often active together are strengthened during learning so that statistical regularities in synaptic input lead to[…]
Read moreSpike timing dependent plasticity finds the start of repeating patterns
Masquelier et al found evidence in support of the belief that spike timing dependant plasticity (STDP) makes the post-synaptic neuron[…]
Read moreSpike timing dependent plasticity
Donnald Hebb postulated way back in 1949: ‘When an axon of cell A is near enough to excite cell B[…]
Read moreConsciousness and the dynamical core
Primary consciousness is the holy grail of neuroscience. Unlike high level consciousness which concerns aspects such as the notion of[…]
Read moreIncremental grouping verses phase binding
When an image appears to the visual system, rapid feedforward processing (within about 120ms) leads to an activity patterns called[…]
Read moreA spiking neuron model of global broadcast
I mentioned in a recent post Murray Shanahan’s model of global broadcast using spiking neurons. In brief, Murrays model contains[…]
Read moreAttention modulates synchrony
Groups of neurons firing in unison across the cortex synchronise at many different time scales. The most notable phase time[…]
Read moreGranger causality analysis
Granger causality analysis has become very popular in neuroscience in recent years. I will briefly describe here what it is[…]
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