AIMC Topic: Neurosciences

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Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications.

Neural networks : the official journal of the International Neural Network Society Oct 17, 2015
The paper describes a new type of evolving connectionist systems (ECOS) called evolving spatio-temporal data machines based on neuromorphic, brain-like information processing principles (eSTDM). These are multi-modular computer systems designed to de...
Humans Neural Networks, Computer Equipment Design Time Factors Neurosciences Models, Neurological Action Potentials Machine Learning Electroencephalography Brain
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Computational rationality: A converging paradigm for intelligence in brains, minds, and machines.

Science (New York, N.Y.) Jul 16, 2015
After growing up together, and mostly growing apart in the second half of the 20th century, the fields of artificial intelligence (AI), cognitive science, and neuroscience are reconverging on a shared view of the computational foundations of intellig...
Neurosciences Uncertainty Intelligence Thinking Brain Humans Artificial Intelligence
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On simplicity and complexity in the brave new world of large-scale neuroscience.

Current opinion in neurobiology Apr 29, 2015
Technological advances have dramatically expanded our ability to probe multi-neuronal dynamics and connectivity in the brain. However, our ability to extract a simple conceptual understanding from complex data is increasingly hampered by the lack of ...
Models, Theoretical Datasets as Topic Animals Nerve Net Neural Networks, Computer Neurosciences
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Feeding the human brain model.

Current opinion in neurobiology Feb 26, 2015
The goal of the Human Brain Project is to develop, during the next decade, an infrastructure capable of simulating a draft human brain model based on available experimental data. One of the key issues is therefore to integrate and make accessible the...
Models, Theoretical Biological Ontologies Brain Neurosciences Computational Biology Humans
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Integrating generative AI with neurophysiological methods in psychiatric practice.

Asian journal of psychiatry Jun 1, 2025
This paper explores the potential integration of generative AI (e.g., large language models) with neuroscientific and physiological approaches in psychiatric practice. Renowned for its advanced natural language processing capabilities, generative AI ...
Humans Artificial Intelligence Neurophysiology Neurosciences Mental Disorders Psychiatry
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Knowledge mining of brain connectivity in massive literature based on transfer learning.

Bioinformatics (Oxford, England) Nov 28, 2024
MOTIVATION: Neuroscientists have long endeavored to map brain connectivity, yet the intricate nature of brain networks often leads them to concentrate on specific regions, hindering efforts to unveil a comprehensive connectivity map. Recent advanceme...
Connectome Neurosciences Humans Machine Learning Brain Data Mining
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Internal world models in humans, animals, and AI.

Neuron Jul 17, 2024
How do brains-biological or artificial-respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguin...
Artificial Intelligence Brain Humans Models, Neurological Animals Neurosciences
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Neurocyberethics, a new and pertinent approach to neuroethics.

Gaceta medica de Mexico Jan 1, 2024
Ethics in neuroscience presents an evolutionary development that has required a more punctual attention, from the knowledge of functional neuroimaging that defines the structures related to the emotions and cognitive functions. Systematic review in P...
Artificial Intelligence Functional Neuroimaging Humans Neurosciences
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Deep reinforcement learning to study combinatorial expansion of a behavior repertoire.

Nature neuroscience Jan 1, 2023
Neurosciences Neural Networks, Computer Reinforcement, Psychology
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Recent Advances at the Interface of Neuroscience and Artificial Neural Networks.

The Journal of neuroscience : the official journal of the Society for Neuroscience Nov 9, 2022
Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural networks (ANNs) have exploited biological properties to solve complex problems. However, despite their effectiveness for specific tasks, ANNs are yet to real...
Cognition Neurosciences Artificial Intelligence Algorithms Neural Networks, Computer
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