Max Nolte
YOU?
Author Swipe
View article: Impact of higher order network structure on emergent cortical activity
Impact of higher order network structure on emergent cortical activity Open
Synaptic connectivity between neocortical neurons is highly structured. The network structure of synaptic connectivity includes first-order properties that can be described by pairwise statistics, such as strengths of connections between d…
View article: Impact of higher-order network structure on emergent cortical activity
Impact of higher-order network structure on emergent cortical activity Open
Synaptic connectivity between neocortical neurons is highly structured. The network structure of synaptic connectivity includes first-order properties that can be described by pairwise statistics, such as strengths of connections between d…
View article: Cortical reliability amid noise and chaos
Cortical reliability amid noise and chaos Open
Typical responses of cortical neurons to identical sensory stimuli appear highly variable. It has thus been proposed that the cortex primarily uses a rate code. However, other studies have argued for spike-time coding under certain conditi…
View article: Cortical reliability amid noise and chaos
Cortical reliability amid noise and chaos Open
Typical responses of cortical neurons to identical sensory stimuli are highly variable. It has thus been proposed that the cortex primarily uses a rate code. However, other studies have argued for spike-time coding under certain conditions…
View article: Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function
Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function Open
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 synapt…
View article: Automated point-neuron simplification of data-driven microcircuit models
Automated point-neuron simplification of data-driven microcircuit models Open
A method is presented for the reduction of morphologically detailed microcircuit models to a point-neuron representation without human intervention. The simplification occurs in a modular workflow, in the neighborhood of a user specified n…
View article: Topological analysis of the connectome of digital reconstructions of neural microcircuits
Topological analysis of the connectome of digital reconstructions of neural microcircuits Open
A recent publication provides the network graph for a neocortical microcircuit comprising 8 million connections between 31,000 neurons (H. Markram, et al., Reconstruction and simulation of neocortical microcircuitry, Cell, 163 (2015) no. 2…