AIMC Topic:
Neurons

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Surrogate gradients for analog neuromorphic computing.

Proceedings of the National Academy of Sciences of the United States of America Jan 25, 2022
To rapidly process temporal information at a low metabolic cost, biological neurons integrate inputs as an analog sum, but communicate with spikes, binary events in time. Analog neuromorphic hardware uses the same principles to emulate spiking neural...
Neurons Action Potentials Models, Biological Algorithms Computers Models, Theoretical Models, Neurological Neural Networks, Computer Brain
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A connectivity-constrained computational account of topographic organization in primate high-level visual cortex.

Proceedings of the National Academy of Sciences of the United States of America Jan 18, 2022
Inferotemporal (IT) cortex in humans and other primates is topographically organized, containing multiple hierarchically organized areas selective for particular domains, such as faces and scenes. This organization is commonly viewed in terms of evol...
Primates Visual Pathways Computer Simulation Animals Neurons Visual Cortex Models, Neurological Neural Networks, Computer
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Scan-less machine-learning-enabled incoherent microscopy for minimally-invasive deep-brain imaging.

Optics express Jan 17, 2022
Deep-brain microscopy is strongly limited by the size of the imaging probe, both in terms of achievable resolution and potential trauma due to surgery. Here, we show that a segment of an ultra-thin multi-mode fiber (cannula) can replace the bulky mic...
Neuroimaging Green Fluorescent Proteins Caenorhabditis elegans Microscopy, Fluorescence Neurons Mice Minimally Invasive Surgical Procedures Neural Networks, Computer Brain Animals Image Processing, Computer-Assisted Machine Learning Cells, Cultured
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The structural aspects of neural dynamics and information flow.

Frontiers in bioscience (Landmark edition) Jan 12, 2022
BACKGROUND: Neurons have specialized structures that facilitate information transfer using electrical and chemical signals. Within the perspective of neural computation, the neuronal structure is an important prerequisite for the versatile computatio...
Artificial Intelligence Models, Neurological CA1 Region, Hippocampal Neurons Pyramidal Cells Hippocampus
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FP-nets as novel deep networks inspired by vision.

Journal of vision Jan 4, 2022
Feature-product networks (FP-nets) are inspired by end-stopped cortical cells with FP-units that multiply the outputs of two filters. We enhance state-of-the-art deep networks, such as the ResNet and MobileNet, with FP-units and show that the resulti...
Learning Deep Learning Vision, Ocular Neurons Artifacts
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A neural surveyor to map touch on the body.

Proceedings of the National Academy of Sciences of the United States of America Jan 4, 2022
Perhaps the most recognizable sensory map in all of neuroscience is the somatosensory homunculus. Although it seems straightforward, this simple representation belies the complex link between an activation in a somatotopic map and the associated touc...
Humans Neural Networks, Computer Touch Perception Somatosensory Cortex Touch Adult Physical Stimulation Mice Bayes Theorem Female Animals Neurons Young Adult Brain Mapping Models, Neurological
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Dynamic Markers for Chaotic Motion in C. elegans.

Nonlinear dynamics, psychology, and life sciences Jan 1, 2022
We describe the locomotion of Caenorhabditis elegans (C. elegans) using nonlinear dynamics. C. elegans is a commonly studied model organism based on ease of maintenance and simple neurological structure. In contrast to traditional microscopic techniq...
Animals Robotics Nonlinear Dynamics Locomotion Neurons Caenorhabditis elegans
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Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task.

Neural computation Dec 15, 2021
In experiments on perceptual decision making, individuals learn a categorization task through trial-and-error protocols. We explore the capacity of a decision-making attractor network to learn a categorization task through reward-based, Hebbian-type ...
Reward Learning Neurons Neural Networks, Computer Algorithms Humans
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THE ROLE OF BURSTS IN SENSORY DISCRIMINATION AND RETENTION OF FAVORED INPUTS IN THE CULTURED NEURAL NETWORKS.

Georgian medical news Dec 1, 2021
The capacity of neural tissue to discriminiate the sensory signals determines how we recognise the world diversity. Dissociated cortical culture (DCC) homed in a multielectrode array allows mimicking neural networks of the brain and using it for inve...
Neurons Neural Networks, Computer Action Potentials Electric Stimulation
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Decoding complex state space trajectories for neural computing.

Chaos (Woodbury, N.Y.) Dec 1, 2021
In biological neural circuits as well as in bio-inspired information processing systems, trajectories in high-dimensional state-space encode the solutions to computational tasks performed by complex dynamical systems. Due to the high state-space dime...
Neural Networks, Computer Neurons
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