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Detection of brain diseases at an early stage can make a huge difference in attempting to cure them. ... In this study, we present a review on recent machine learning and deep learning approaches in detecting four brain diseases such as Alzheimer's disease (AD), brain tumor, epilepsy, and Parkinson's disease ... A DL method to detect interictal and preictal states of a patient was investigated in  to help in preventing epilepsy. ...doi:10.1109/access.2021.3062484 fatcat:lmhp34ad3zdexb5y4bt5ksntia
One of the goals of neuroscience is to understand the computational principles that describe the formation of behaviorally relevant signals in the brain, as well as how these computations are realized ... Currently, most functional models of neural activity are based on firing rates, while the most relevant signals for inter-neuron communication are spikes. ... Owing to the randomness of positions of cells and connectivity, there were large variations of the strength of the PC response depending on the precise location of the stimulus. ...doi:10.1007/s10827-021-00801-9 pmid:34931275 pmcid:PMC8687879 fatcat:evpmmfpaivgpxdqpive5xdgmwu
fMRI signals. orientation map, as reported by previous experimental studies (Fig- In this work, we use fMRI resting-state data acquired from 6 subjects ure 1F). ... resting‑state fMRI signals Christoph Bauermeister1,2, Hanna K eren3,4, Jochen B raun1,2 João V. ...doi:10.1186/s12868-017-0371-2 fatcat:jkqnv4rvfvaj5g44xm5snzdqzy
Part of this complexity is related to the number of different cell types that work together to encode stimuli. ... I will discuss theoretical results that point to functional advantages of splitting neural populations into subtypes, both in feedforward and recurrent networks. ... The funders had no role in study design, data collection and analysis, the decision to publish, or the preparation of the manuscript. ...doi:10.1186/s12868-016-0283-6 pmid:27534393 pmcid:PMC5001212 fatcat:bt45etzj2bbolfcxlxo7hlv6ju
The computer then performed online event detection on the signals and forwarded this information to the robot via Bluetooth connection, accurately preserving the temporal structure of the intervals building ... The first one consisted of using the neuron oscillations to drive the robot directly, for example moving the legs when a specific neuron fires. ... We use two DNN architectures: (i) Denoising auto-encoder using convolutional neural network (CNN) layers for initialization of weights to the first receptive layer of the main DNN, which is built in (ii ...doi:10.1186/s12868-019-0538-0 fatcat:3pt5qvsh45awzbpwhqwbzrg4su
With an increasing general demand and pressure on CARS to also go fully digital in the long term, many members of the CARS Congress Organizing Committee, however, are more cautious and convinced that one ... Aiming to stimulate complimentary thoughts and actions on what is being presented at CARS, implies a number of enabling variables for optimal analogue scholarly communication, such as (examples given are ... We thank NVIDIA for the Titan X hardware grant that allowed us to process the images in a faster way. ]. ...doi:10.1007/s11548-020-02171-6 pmid:32514840 fatcat:lyhdb2zfpjcqbf4mmbunddwroq