AIMC Topic: Brain

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Iontronic Nanopore Model for Artificial Neurons: The Requisites of Spiking.

The journal of physical chemistry letters Oct 2, 2023
Brain-inspired neuromorphic computing is currently being investigated for effective artificial intelligence (AI) systems. The development of artificial neurons and synapses is imperative to creating efficient computational biomimetic networks. Here w...
Nanopores Artificial Intelligence Brain Neurons Synapses
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Natural variability in bee brain size and symmetry revealed by micro-CT imaging and deep learning.

PLoS computational biology Oct 2, 2023
Analysing large numbers of brain samples can reveal minor, but statistically and biologically relevant variations in brain morphology that provide critical insights into animal behaviour, ecology and evolution. So far, however, such analyses have req...
Animals Deep Learning Brain Bees Cognition X-Ray Microtomography Organ Size
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A topological classifier to characterize brain states: When shape matters more than variance.

PloS one Oct 2, 2023
Despite the remarkable accuracies attained by machine learning classifiers to separate complex datasets in a supervised fashion, most of their operation falls short to provide an informed intuition about the structure of data, and, what is more impor...
Cluster Analysis Machine Learning Humans Brain
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Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center.

European journal of radiology Sep 29, 2023
PURPOSE: To estimate the ability of a commercially available artificial intelligence (AI) tool to detect acute brain ischemia on Magnetic Resonance Imaging (MRI), compared to an experienced neuroradiologist.
Magnetic Resonance Imaging Stroke Brain Ischemia Diagnostic Tests, Routine Deep Learning Humans Aged Adolescent Diffusion Magnetic Resonance Imaging Artificial Intelligence Male Algorithms Retrospective Studies Brain Female
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Deep learning-driven adaptive optics for single-molecule localization microscopy.

Nature methods Sep 28, 2023
The inhomogeneous refractive indices of biological tissues blur and distort single-molecule emission patterns generating image artifacts and decreasing the achievable resolution of single-molecule localization microscopy (SMLM). Conventional sensorle...
Optics and Photonics Deep Learning Microscopy Brain
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D-LMBmap: a fully automated deep-learning pipeline for whole-brain profiling of neural circuitry.

Nature methods Sep 28, 2023
Recent proliferation and integration of tissue-clearing methods and light-sheet fluorescence microscopy has created new opportunities to achieve mesoscale three-dimensional whole-brain connectivity mapping with exceptionally high throughput. With the...
Brain Mapping Image Processing, Computer-Assisted Algorithms Brain Deep Learning
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Neuron Contact Detection Based on Pipette Precise Positioning for Robotic Brain-Slice Patch Clamps.

Sensors (Basel, Switzerland) Sep 28, 2023
A patch clamp is the "gold standard" method for studying ion-channel biophysics and pharmacology. Due to the complexity of the operation and the heavy reliance on experimenter experience, more and more researchers are focusing on patch-clamp automati...
Neurons Brain Robotics Automation Robotic Surgical Procedures
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Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia.

Journal of neural engineering Sep 28, 2023
(SCZ) is a severe mental disorder associated with persistent or recurrent psychosis, hallucinations, delusions, and thought disorders that affect approximately 26 million people worldwide, according to the World Health Organization. Several studies e...
Humans Machine Learning Magnetic Resonance Imaging Schizophrenia Brain Deep Learning
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Group-level brain decoding with deep learning.

Human brain mapping Sep 27, 2023
Decoding brain imaging data are gaining popularity, with applications in brain-computer interfaces and the study of neural representations. Decoding is typically subject-specific and does not generalise well over subjects, due to high amounts of betw...
Deep Learning Brain Mapping Humans Brain Brain-Computer Interfaces Magnetoencephalography
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Neuromorphic sequence learning with an event camera on routes through vegetation.

Science robotics Sep 27, 2023
For many robotics applications, it is desirable to have relatively low-power and efficient onboard solutions. We took inspiration from insects, such as ants, that are capable of learning and following routes in complex natural environments using rela...
Brain Learning Agriculture Robotics Algorithms
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