AIMC Topic: Models, Neurological

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Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps.

Nature communications Apr 22, 2021
Cognitive maps are mental representations of spatial and conceptual relationships in an environment, and are critical for flexible behavior. To form these abstract maps, the hippocampus has to learn to separate or merge aliased observations appropria...
Markov Chains Hippocampus Cognition Models, Neurological Humans Neural Networks, Computer Learning
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On Robot Compliance: A Cerebellar Control Approach.

IEEE transactions on cybernetics Apr 15, 2021
The work presented here is a novel biological approach for the compliant control of a robotic arm in real time (RT). We integrate a spiking cerebellar network at the core of a feedback control loop performing torque-driven control. The spiking cerebe...
Humans Neuronal Plasticity Models, Neurological Brain-Computer Interfaces Movement Upper Extremity Action Potentials Robotics Cerebellum
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A graph neural network framework for causal inference in brain networks.

Scientific reports Apr 13, 2021
A central question in neuroscience is how self-organizing dynamic interactions in the brain emerge on their relatively static structural backbone. Due to the complexity of spatial and temporal dependencies between different brain areas, fully compreh...
Nerve Net Diffusion Tensor Imaging Neural Networks, Computer Algorithms Brain Magnetic Resonance Imaging Models, Neurological Brain Mapping Humans
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Spatial Memory in a Spiking Neural Network with Robot Embodiment.

Sensors (Basel, Switzerland) Apr 10, 2021
Cognitive maps and spatial memory are fundamental paradigms of brain functioning. Here, we present a spiking neural network (SNN) capable of generating an internal representation of the external environment and implementing spatial memory. The SNN in...
Models, Neurological Robotics Neural Networks, Computer Spatial Memory Animals Neuronal Plasticity
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Large-scale nonlinear Granger causality for inferring directed dependence from short multivariate time-series data.

Scientific reports Apr 9, 2021
A key challenge to gaining insight into complex systems is inferring nonlinear causal directional relations from observational time-series data. Specifically, estimating causal relationships between interacting components in large systems with only s...
Humans Machine Learning Software Magnetic Resonance Imaging Causality Models, Neurological Brain Computer Simulation Computational Biology Nerve Net Models, Statistical Neurons
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Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience.

eLife Apr 6, 2021
In cognitive neuroscience, computational modeling can formally adjudicate between theories and affords quantitative fits to behavioral/brain data. Pragmatically, however, the space of plausible generative models considered is dramatically limited by ...
Neural Pathways Brain Likelihood Functions Computer Simulation Cognition Humans Models, Neurological Neural Networks, Computer Bayes Theorem Cognitive Neuroscience
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Neuron type classification in rat brain based on integrative convolutional and tree-based recurrent neural networks.

Scientific reports Mar 31, 2021
The study of cellular complexity in the nervous system based on anatomy has shown more practical and objective advantages in morphology than other perspectives on molecular, physiological, and evolutionary aspects. However, morphology-based neuron ty...
Models, Neurological Neurons Brain Neural Networks, Computer Animals Machine Learning Rats
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Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior.

PLoS computational biology Mar 29, 2021
Current dominant views hold that perceptual confidence reflects the probability that a decision is correct. Although these views have enjoyed some empirical support, recent behavioral results indicate that confidence and the probability of being corr...
Inhibition, Psychological Decision Making Neural Networks, Computer Computational Biology Macaca mulatta Reaction Time Models, Neurological Animals Superior Colliculi Perception Male
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Qualitative similarities and differences in visual object representations between brains and deep networks.

Nature communications Mar 25, 2021
Deep neural networks have revolutionized computer vision, and their object representations across layers match coarsely with visual cortical areas in the brain. However, whether these representations exhibit qualitative patterns seen in human percept...
Visual Cortex Visual Perception Pattern Recognition, Visual Humans Neural Networks, Computer Models, Neurological
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Lightweight pyramid network with spatial attention mechanism for accurate retinal vessel segmentation.

International journal of computer assisted radiology and surgery Mar 22, 2021
PURPOSE: The morphological characteristics of retinal vessels are vital for the early diagnosis of pathological diseases such as diabetes and hypertension. However, the low contrast and complex morphology pose a challenge to automatic retinal vessel ...
Software Humans Retinal Vessels Image Processing, Computer-Assisted Algorithms Neural Networks, Computer Pyramidal Tracts Models, Neurological Computer Simulation Microcirculation
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