AIMC Topic: Neurons

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On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation.

IEEE transactions on neural networks and learning systems
This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy membership functions and rules into the hidden layer of extreme learning machine (ELM). Similar to the concept of ELM that employed the random initialization technique, th...

A hierarchical model of goal directed navigation selects trajectories in a visual environment.

Neurobiology of learning and memory
We have developed a Hierarchical Look-Ahead Trajectory Model (HiLAM) that incorporates the firing pattern of medial entorhinal grid cells in a planning circuit that includes interactions with hippocampus and prefrontal cortex. We show the model's fle...

Is extreme learning machine feasible? A theoretical assessment (part II).

IEEE transactions on neural networks and learning systems
An extreme learning machine (ELM) can be regarded as a two-stage feed-forward neural network (FNN) learning system that randomly assigns the connections with and within hidden neurons in the first stage and tunes the connections with output neurons i...

Is extreme learning machine feasible? A theoretical assessment (part I).

IEEE transactions on neural networks and learning systems
An extreme learning machine (ELM) is a feedforward neural network (FNN) like learning system whose connections with output neurons are adjustable, while the connections with and within hidden neurons are randomly fixed. Numerous applications have dem...

Self-organization of a recurrent network under ongoing synaptic plasticity.

Neural networks : the official journal of the International Neural Network Society
We investigated the organization of a recurrent network under ongoing synaptic plasticity using a model of neural oscillators coupled by dynamic synapses. In this model, the coupling weights changed dynamically, depending on the timing between the os...

SLC35A2 loss-of-function variants affect glycomic signatures, neuronal fate and network dynamics.

Brain : a journal of neurology
SLC35A2 encodes a uridine diphosphate (UDP)-galactose transporter essential for glycosylation of proteins and galactosylation of lipids and glycosaminoglycans. Germline genetic SLC35A2 variants have been identified in congenital disorders of glycosyl...

A New Insight in Cellular and Molecular Signaling Regulation for Neural Differentiation Program.

Molecular neurobiology
Numerous neurological conditions impact the brain, spinal cord, and nerves, including neurodegenerative diseases such as Alzheimer's and Parkinson's disease, autoimmune disorders like Multiple sclerosis, seizure disorders such as Epilepsy, and neurop...

Contribution of α-synuclein cytopathologies to distinct seeding of misfolded α-synuclein.

Brain pathology (Zurich, Switzerland)
Synucleinopathies are a group of neurodegenerative diseases characterized by the deposition of misfolded α-synuclein (αSyn), predominantly in oligodendrocytes in multiple system atrophy (MSA) and in neurons in Lewy body diseases (LBD). The contributi...

Progress toward Multianalyte Neurochemical Detection: Techniques and Applications.

ACS chemical neuroscience
Brain function is shaped by the coordinated activity of billions of neurons. The neurotransmitters and neuromodulators released from these neurons work together to modulate circuit function and, ultimately, behavior. Electroanalytical technologies ar...

Modeling Higher-Order Interactions in Sparse and Heavy-Tailed Neural Population Activity.

Neural computation
Neurons process sensory stimuli efficiently, showing sparse yet highly variable ensemble spiking activity involving structured higher-order interactions. Notably, while neural populations are mostly silent, they occasionally exhibit highly synchronou...