Postdoctoral Researcher in Molecular and Brain Macroscopic Mechanisms in Alzheimer's Disease
https://www.neuropm-lab.com/job-openings.html
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https://www.neuropm-lab.com/job-openings.html
#positions
Follow: @theTuringMachine
The NeuroPM Lab
Job Openings
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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Registrations close on 21 Nov, 10 AM IST.
https://www.neuronov.org
#events
Follow: @theTuringMachine
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.
Author: Faeze Aminmansoor, IPM
Oct 27, 5:00 PM - Oct 27, 5:15 PM
[ Zoom ] [ Copy to share ]
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.
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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
Link: [ ZOOM ]
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
Link: [ ZOOM ]
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.
[ ZOOM ]
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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Spikeinterface simplifies the process of running multiple spike sorters on the same dataset
https://open-ephys.org/spikeinterface
https://open-ephys.org/spikeinterface
Synchronization of adaptive networks of Sakaguchi-Kuramoto oscillators
Abstract: Sakaguchi-Kuramoto model is a generalization of the well-known Kuramoto model including a phase-lag or frustration parameter. In this work we study the structure and synchronization dynamics of adaptive networks of Sakaguchi-Kuramoto oscillators based on Hebbian and anti-Hebbian learning rules. We show that following anti-Hebbian learning the structure of network is gradually evolved such that the global synchronization is enhanced. On the other hand, Hebbian learning leads to the local synchronization and clustering structure of the network...
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Abstract: Sakaguchi-Kuramoto model is a generalization of the well-known Kuramoto model including a phase-lag or frustration parameter. In this work we study the structure and synchronization dynamics of adaptive networks of Sakaguchi-Kuramoto oscillators based on Hebbian and anti-Hebbian learning rules. We show that following anti-Hebbian learning the structure of network is gradually evolved such that the global synchronization is enhanced. On the other hand, Hebbian learning leads to the local synchronization and clustering structure of the network...
[ ZOOM ]
LIVE NOW!
NEUROTECH Education Programme
Within the NEUROTECH framework there is an educational initiative on neuromorphic engineering. As the "Neuromorphic engineering" field is receiving increasing importance worldwide, the interest in learning about the field is rising rapidly. However, there is little information and educational material available online. Our aim is to fill this gap with a series of virtual colloquia, each revolving around a specific aspect of the neuromorphic engineering field. In each colloquium, a small number of experts on neuromorphic engineering will answer a specific “question of the day” with a short pitch, followed by a live discussion on the topic, with a moderator and questions from the audience.
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Within the NEUROTECH framework there is an educational initiative on neuromorphic engineering. As the "Neuromorphic engineering" field is receiving increasing importance worldwide, the interest in learning about the field is rising rapidly. However, there is little information and educational material available online. Our aim is to fill this gap with a series of virtual colloquia, each revolving around a specific aspect of the neuromorphic engineering field. In each colloquium, a small number of experts on neuromorphic engineering will answer a specific “question of the day” with a short pitch, followed by a live discussion on the topic, with a moderator and questions from the audience.
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the Turing Machine pinned «https://www.mdpi.com/journal/biology/special_issues/neuronalcircuits»
Forwarded from Complex Systems Studies
💰 Looking for #PhD student to work on i) cognitive modelling of social systems, ii) wisdom of crowds, and/or iii) social influence. Ideal candidate has experience w programming (group) experiments, cognitive modeling and excellent stats skills. https://t.co/ePZ7YUk3zm