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Current Issue April 2016

05/18/2016

Research article

Neuroprosthetic Decoder Training as Imitation Learning

Merel et al. show a unification of closed-loop decoder learning setting as an imitation learning problem. This has two major consequences: first, their approach clarifies how to derive “intention-based” algorithms for any BCI setting, most notably more complex settings like control of an arm; and second, this framework allows them to provide theoretical results, building from an existing literature on the regret of related algorithms.

Image credit: Josh Merel et al.

Neuroprosthetic Decoder Training as Imitation Learning

05/13/2016

MESSAGE FROM ISCB

Applying, Evaluating and Refining Bioinformatics Core Competencies 


The Curriculum Task Force (CTF) of ISCB’s Education Committee seeks to define curricular guidelines for those who educate or train bioinformatics professionals at all career stages. A recent report of the CTF presented a draft set of bioinformatics core competencies, derived from the results of surveys of core facility directors, career opportunities, and existing curricula.


Applying, Evaluating and Refining Bioinformatics Core Competencies 

05/09/2016

research article

High-Degree Neurons Feed Cortical Computations

Timme et al. record the electrical activity of hundreds of neurons simultaneously in brain tissue from mice and and analyze these signals using state-of-the-art tools from information theory. These tools allow the authors to ascertain which neurons were transmitting information to other neurons and to characterize the computations performed by neurons using the inputs they received from two or more other neurons.

High-Degree Neurons Feed Cortical Computations

Image credit: ZEISS Microscopy/ Flickr

02/24/2016

PLOS Science wednesday

Ask Us Anything

Florian Markowetz and James Breton discuss their PLOS Medicine paper showing that resistance to cancer treatment may be related to the heterogeneity in the tumor, which has implications for drug effectiveness.

Ask Us Anything

Image credit: Schwarz et al.