Modulation of Context-Dependent Spatiotemporal Patterns within Packets of Spiking Activity
| Autor: | Timothée Leleu, Miho Itoh |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Quantitative Biology::Neurons and Cognition Network packet business.industry Computer science Mechanism (biology) Cognitive Neuroscience Context (language use) Machine learning computer.software_genre 03 medical and health sciences 030104 developmental biology 0302 clinical medicine Arts and Humanities (miscellaneous) Modulation (music) Artificial intelligence business Biological system computer 030217 neurology & neurosurgery |
| Zdroj: | Neural computation. 29(5) |
| ISSN: | 1530-888X |
| Popis: | Recent experiments have shown that stereotypical spatiotemporal patterns occur during brief packets of spiking activity in the cortex, and it has been suggested that top-down inputs can modulate these patterns according to the context. We propose a simple model that may explain important features of these experimental observations and is analytically tractable. The key mechanism underlying this model is that context-dependent top-down inputs can modulate the effective connection strengths between neurons because of short-term synaptic depression. As a result, the degree of synchrony and, in turn, the spatiotemporal patterns of spiking activity that occur during packets are modulated by the top-down inputs. This is shown using an analytical framework, based on avalanche dynamics, that allows calculating the probability that a given neuron spikes during a packet and numerical simulations. Finally, we show that the spatiotemporal patterns that replay previously experienced sequential stimuli and their binding with their corresponding context can be learned because of spike-timing-dependent plasticity. |
| Databáze: | OpenAIRE |
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