UH Biocomputation Group - correlationshttp://biocomputation.herts.ac.uk/2020-02-26T10:32:21+00:00Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function2020-02-26T10:32:21+00:002020-02-26T10:32:21+00:00Emil Dmitruktag:biocomputation.herts.ac.uk,2020-02-26:/2020/02/26/cliques-of-neurons-bound-into-cavities-provide-a-missing-link-between-structure-and-function.html<p class="first last">Emil Dmitruk's journal club session where he will talk about the paper "Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function".</p>
<p>This week on Journal Club session Emil Dmitruk will talk about the paper "Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function".</p>
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<p>The lack of a formal link between neural network structure and its emergent function
has hampered our understanding of how the brain processes information. We have now come
closer to describing such a link by taking the direction of synaptic transmission into
account, constructing graphs of a network that reflect the direction of information
flow, and analyzing these directed graphs using algebraic topology. Applying this
approach to a local network of neurons in the neocortex revealed a remarkably intricate
and previously unseen topology of synaptic connectivity. The synaptic network contains
an abundance of cliques of neurons bound into cavities that guide the emergence of
correlated activity. In response to stimuli, correlated activity binds synaptically
connected neurons into functional cliques and cavities that evolve in a stereotypical
sequence toward peak complexity. We propose that the brain processes stimuli by forming
increasingly complex functional cliques and cavities.</p>
<p>Papers:</p>
<ul class="simple">
<li>Reimann, M. et al. (2017) <a class="reference external" href="http://journal.frontiersin.org/article/10.3389/fncom.2017.00048/full">"Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function"</a> ,
Front. Comput. Neurosci. 11:48. doi: 10.3389/fncom.2017.00048</li>
</ul>
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<p><strong>Date:</strong> 28/02/2020 <br />
<strong>Time:</strong> 16:00 <br />
<strong>Location</strong>: B200</p>