This valuable study presents a plastic recurrent spiking network model that spontaneously generates repeating neuronal sequences under unstructured inputs. The authors provide solid evidence that, ...
Stock Price Prediction, Deep Learning, LSTM, GRU, Attention Mechanism, Financial Time Series Share and Cite: Kirui, D. (2026) ...
Many women struggle with body-image issues, which may be linked to a painful schema in the brain causing body dysmorphia and ...
AI in pharma offers opportunities in clinical trial optimization, drug discovery enhancement, personalized healthcare, and ...
Opioid dependence, characterized by high relapse rates and substantial social harm, represents a major global public health ...
Pradhan and Basab Chakraborty, has developed a grey wolf optimisation (GWO)-based hybrid regression model that significantly improves state-of-health (SOH) estimation for bipolar lead-acid batteries.
The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...
The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...
REM (rapid eye movement) and non-REM (NREM) sleep stages contribute to systems memory consolidation in hippocampal-cortical circuits. However, the physiological mechanisms underlying REM memory ...
Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
The default mode network (DMN) is a distributed set of interconnected brain regions that has long been associated with ...
For decades, neuroscience and artificial intelligence (AI) have shared a symbiotic history, with biological neural networks (BNNs) serving as the ...
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