Call for Papers: Special Issue on Brain Simulation and Spiking Neural Networks

During the past 10 years, many experiments have been implemented with the aim of improving our understanding on the brain’s structure and function. Alongside, simulation neuroscience has become an important strategy to investigate how the brain works. The Human Connectome Project in the US started in 2009, and aimed to provide a big human brain mapping dataset on which many brain models have already been tested. In the Human Brain Project in the EU, a large-scale virtual rodent brain simulation is being built with the purpose of revealing various brain activities. In Japan, whole human-scale brain simulations on the Fugaku supercomputer are being established to investigate how neural networks develop their learning process.
On the other hand, the foundation of cognitive computing and control mechanism can be revealed from the simulations of brain circuits and the neural dynamics. Moreover, these are also critical to improve current artificial intelligent systems and for building brain intelligence level algorithms.
In this special issue, we invite researchers to present their state-of-the-art approaches, introduce recent advances and therefore show the potential of brain-simulation-related technologies.

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Barres, B. A. (2013). How to Pick a Graduate Advisor. Neuron, 80(2), 275–279. doi:10.1016/j.neuron.2013.10.005

Postdoctoral Researcher in Molecular and Brain Macroscopic Mechanisms in Alzheimer's Disease

https://www.neuropm-lab.com/job-openings.html
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Cross-correlation of instantaneous amplitudes of field potential oscillations: a straightforward method to estimate the directionality and lag between brain areas

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NeuroNovember is a collaborative youth-led initiative, jointly organized by Project Encephalon and Stimulus, to delve deeper into the fascinating field of neuroscience in our uniquely curated 4-day NeuroNovember Convention. It's essentially aimed at raising awareness regarding the plethora of diverse branches that neuroscience entails. This unique four-day event will span throughout two weekends in November 2020 featuring, workshops, panels, sessions, competitions, and various other opportunities to engage in interaction and network with leading speakers, organizations, and ventures actively shaping the future of neuroscience.

Registrations close on 21 Nov, 10 AM IST.

https://www.neuronov.org

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Collective response of oscillating neuronal population to the applied perturbation: a computational framework  
Author: Faeze Aminmansoor, IPM
Oct 27, 5:00 PM - Oct 27, 5:15 PM

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Abstract: Brain oscillations are hypothesized to modulate the inter-cortical communication and control the integration of information. The signal exchange in such processes relies on the response of the networks to the incoming inputs. Characterizing the network’s response with respect to the timing of input’s arrival, though, is crucial to assess the mechanism of cortical communication. In this study, we introduce a computational framework to investigate the collective response of a network regarding the perturbation phase at which it is received.

Instantaneous Modulation of Gamma Rhythm by Syaptic Time Constants of EI Neurons

In this computational study, we simulated a network of excitatory and inhibitory neurons which generates rhythmic activities in a range of slow oscillations (1-20 Hz) as well as a faster oscillation in the range (30-100 Hz). We verified a noticeable correlation between synaptic decay time constant and amplitude-frequency correlation in cycle-by-cycle population activity. Our results showed that the greater the difference of time decay of inhibitory synapses compared to that of excitatory synapses, the stronger the amplitude-frequency correlation of population activity....

October 29 - 21:30 Tehran timezone

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GIN-tonic: collaboration in research made easy

Abstract: Computer scientists have seen their collaboration highly facilitated by the use of GitHub-like platforms. Their work could not be done without the use of issues, pull requests and merges, not any more. However, we have been waiting for a "GitHub for science" tool for a decade. Indeed, the technology needed to deal with research data specificities makes the repository administration very complex and time consuming, and requires relatively high computer skills.

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