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Shaping Neural Circuits

Posted in neuroscience, robotics/AI

Nice paper on Neural Circuit structures.


Plasticity between neural connections plays a key role in our ability to process and store information. One of the fundamental questions on plasticity, is the extent to which local processes, affecting individual synapses, are responsible for large scale structures of neural connectivity. Here we focus on two types of structures: synfire chains and self connected assemblies. These structures are often proposed as forms of neural connectivity that can support brain functions such as memory and generation of motor activity. We show that an important plasticity mechanism, spike timing dependent plasticity, can lead to autonomous emergence of these large scale structures in the brain: in contrast to previous theoretical proposals, we show that the emergence can occur autonomously even if instructive signals are not fed into the neural network while its form is shaped by synaptic plasticity.

Citation: Ravid Tannenbaum N, Burak Y (2016) Shaping Neural Circuits by High Order Synaptic Interactions. PLoS Comput Biol 12: e1005056. doi:10.1371/journal.pcbi.1005056

Editor: Peter E. Latham, UCL, UNITED KINGDOM

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