Results 71 to 80 of about 1,400,187 (379)

Epistemic integration and social segregation of AI in neuroscience [PDF]

open access: yesarXiv, 2023
In recent years, Artificial Intelligence (AI) shows a spectacular ability of insertion inside a variety of disciplines which use it for scientific advancements and which sometimes improve it for their conceptual and methodological needs. According to the transverse science framework originally conceived by Shinn and Joerges, AI can be seen as an ...
arxiv  

The Law and Neuroscience [PDF]

open access: yesNeuron, 2008
Some of the implications for law of recent discoveries in neuroscience are considered in a new program established by the MacArthur Foundation. A group of neuroscientists, lawyers, philosophers, and jurists are examining issues in criminal law and, in particular, problems in responsibility and prediction and problems in legal decision making.
openaire   +3 more sources

Textpresso for Neuroscience: Searching the Full Text of Thousands of Neuroscience Research Papers [PDF]

open access: yes, 2008
Textpresso is a text-mining system for scientific literature. Its two major features are access to the full text of research papers and the development and use of categories of biological concepts as well as categories that describe or relate objects ...
Mueller, Hans-Michael   +3 more
core   +2 more sources

Positive feedback loop between MAPK and aquaporin 7 regulates autophagy and apoptosis induced by palmitate in RIN‐m5f cells

open access: yesFEBS Open Bio, EarlyView.
T2DM is characterized by peripheral blood insulin resistance and progressive pancreatic β‐cell dysfunction. Here, we showed that AQP7, the only aquaglyceroporin protein, regulates autophagy and apoptosis in pancreatic β‐cells. We propose the existence of a positive feedback loop between MAPK signaling and AQP7 that regulates autophagy and apoptosis in ...
Maoqi Wang   +5 more
wiley   +1 more source

Multilayer Brain Networks [PDF]

open access: yes, 2017
The field of neuroscience is facing an unprecedented expanse in the volume and diversity of available data. Traditionally, network models have provided key insights into the structure and function of the brain. With the advent of big data in neuroscience, both more sophisticated models capable of characterizing the increasing complexity of the data and
arxiv   +1 more source

A Philosophical Understanding of Representation for Neuroscience [PDF]

open access: yesarXiv, 2021
Neuroscientists often describe neural activity as a representation of something, or claim to have found evidence for a neural representation. But what do these statements mean? The reasons to call some neural activity a representation and the assumptions that come with this term are not generally made clear from its common uses in neuroscience ...
arxiv  

Foreword [PDF]

open access: yes, 2016
This Foreword provides an overview of Criminal Behavior and the Brain: When Law and Neuroscience Collide, a symposium hosted by the Fordham Law Review and cosponsored by the Fordham Law School Neuroscience and Law Center. While the field of neuroscience
Denno, Deborah W.
core   +1 more source

Making Memories: Why Time Matters [PDF]

open access: yes, 2018
In the last decade advances in human neuroscience have identified the critical importance of time in creating long-term memories. Circadian neuroscience has established biological time functions via cellular clocks regulated by photosensitive retinal ...
Evans, M. D. R.   +2 more
core   +2 more sources

Routine machine quality assurance tests for a self‐shielded gyroscopic radiosurgery system

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This report describes routine machine quality assurance (QA) (daily, monthly, and annual QA) tests for the Zap‐X® Gyroscopic Radiosurgery® platform. Methods Following the recommendations of the American Association of Physicists in Medicine Task Group (AAPM TG)‐142 and Medical Physics Practice guideline (MPPG) 8.b, routine machine QA ...
Yongsook C. Lee   +6 more
wiley   +1 more source

A learning gap between neuroscience and reinforcement learning [PDF]

open access: yesarXiv, 2021
Historically, artificial intelligence has drawn much inspiration from neuroscience to fuel advances in the field. However, current progress in reinforcement learning is largely focused on benchmark problems that fail to capture many of the aspects that are of interest in neuroscience today.
arxiv  

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