Hagan, A. K., Lesniak, N. A., Balunas, M. J., Bishop, L., Close, W. L., Doherty, M. D., … Schloss, P. D. (2020). Ten simple rules to increase computational skills among biologists with Code Clubs. PLOS Computational Biology, 16(8), e1008119. doi:10.1371/journal.pcbi.1008119

💰 #PhD positions in neuroscience! Fully-funded, interdisciplinary, Bachelor's or Master's students can apply! Either in Bonn, #Germany or in Jupiter, Florida (#USA). Join the International Max Planck Research School for Brain and Behavior!
Deadline: November 15
https://www.imprs-brain-behavior.org/admissions/application-info/

Online resources for system and computational neuroscience:
Link: simsonsfundations
#Neuroscience
Follow: @theTuringMachine

thoughts on notable developments in #neuroscience over the past decades:
https://t.co/V3EMWH2yg2

Brian workshop, 9 Sep, 15-18 Iran time.
The material will be uploaded here.
To install the required package look here.

Please fill the google form for the registration (free of charge).
The language of workshop will be in Farsi (Excuseme nonpersian members).

#Postdoc position in Nonlinear Dynamics/Statistical Physics at Jacobs University Bremen, Germany
The project is on transient processes and rare events in complex systems, related to evolutionary game theory and heteroclinic dynamics. The focus is on the prediction of transient phenomena such as spatio-temporal pattern formation. Patterns range from temporal sequences of excitations in neural networks to self-organized spatial segregation and the formation
of temporary alliances between species in ecological or social systems, including extinction events, whose risk for occurrence should be analytically estimated. Possible applications refer in particular to cognitive dynamics, with transient heteroclinic processes being coupled and going on in parallel.
Very good programming skills and expertise with analytical calculations are required. Experience in bifurcation analyses and large deviation theory is desirable. The position is for 2 years with a possible start by the end of this year or earlier. https://www.jacobs-university.de/directory/meyer-ortmanns .

🍀 The Algorithms - Python


A beautiful and well-maintained repository of some classic and well-known algorithms from many different domains. This resource can help you understand how to implement algorithms while practicing programming using Python.

https://github.com/TheAlgorithms/Python
@omarsar0

This workshop is being live streamed on our website. Full participation (including the capacity to ask questions) will be available via Zoom webinar.
Link: Simons
#Neuroscience
Follow: @theTuringMachine

Bringing Together the World's Leading Researchers and Scholars in Theoretical Computer Science

Link: Simons

#Introduction
Follow: @theTuringMachine

Goal-directed and stimulus-driven selection of internal representations
Abstract:
Adaptive behavior relies on the selection of relevant sensory information from both the external environment and internal memory representations. In understanding external selection, a classic distinction is made between voluntary (goal-directed) and involuntary (stimulus-driven) guidance of attention. We have developed a task—the anti-retrocue task—to separate and examine voluntary and involuntary guidance of attention to internal representations in visual working memory. We show that both voluntary and involuntary factors influence memory performance but do so in distinct ways. Moreover, by tracking gaze biases linked to attentional focusing in memory, we provide direct evidence for an involuntary “retro-capture” effect whereby external stimuli involuntarily trigger the selection of feature-matching internal representations. We show that stimulus-driven and goal-directed influences compete for selection in memory, and that the balance of this competition—as reflected in oculomotor signatures of internal attention—predicts the quality of ensuing memory-guided behavior. Thus, goal-directed and stimulus-driven factors together determine the fate not only of perception, but also of internal representations in working memory.

Read More: https://t.co/d7duhY1Bbj
#articles

Interesting paper!
https://psyarxiv.com/vwure

https://englishharmony.com/start/

#spare_time
Follow: @theTuringMachine