Adaptive Neuron
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Scale When Needed: Adaptive Neuron-level Mixed Precision Quantization Aware Training
arXiv:2605.25054v2 Announce Type: replace Abstract: Deploying deep neural networks on resource-constrained 6G edge devices demands aggressive compression with minimal accuracy loss. Quantization-Aware Training (QAT) has emerged as a leading compression approach; however, existing mixed-precision methods typically operate at coarse layer- or channel-level granularity. These methods often rely on heuristic or search-based bit-allocation strategies, which may overlook fine-grained variability...
SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks
Announce Type: replace Abstract: The choice of activation function plays a critical role in neural networks, yet most architectures still rely on fixed, uniform activation functions across all neurons. We introduce SmartMixed, a novel two-phase training strategy that allows networks to learn optimal per-neuron activation functions while preserving computational efficiency at inference. In the first phase, neurons adaptively select from a pool of candidate activation functions (ReLU, Sigmoid,...
Researchers teach brain cells to play 'Doom'
Researchers teach brain cells to play 'Doom' Andrew Zinin Lead Editor Australian researchers have trained lab-grown brain cells on a silicon computer chip to play the nineties shooter game "Doom" and say they are just scratching the surface of what the neurons could be capable of doing. It's the science-fiction work of biotech boffins at Cortical Labs, who researched and developed the technology that harnesses the workings of the brain's networking system.
Multi-omics analysis reveals chromatin and transcriptomic remodeling in hippocampal CA1 following adolescent social isolation
Social isolation (SI) during adolescence is associated with long-term vulnerability to psychiatric disorders; however, its effect on the hippocampal epigenome and transcriptome remains unclear. Here, we performed integrative ATAC-seq and RNA-seq of the hippocampal CA1 region using an adolescent mouse SI model, combined with single-cell RNA-seq reference mapping and cell type deconvolution. ATAC-seq identified SI-associated alterations in chromatin accessibility, including an increase in...
CalM: A Self-Supervised Foundation Model for Population Dynamics in Calcium Imaging Data
arXiv:2604.04958v3 Announce Type: replace-cross Abstract: Recent work suggests that large-scale, multi-animal modeling can significantly improve neural recording analysis. However, for functional calcium traces, existing approaches remain task-specific, limiting transfer across common neuroscience objectives.
A thalamus–brainstem attractor network drives history-biased decisions
Abstract Natural environments often change gradually, making it adaptive to bias decisions on the basis of the recent past — a phenomenon known as serial dependence1,2,3. Large-scale recordings during behaviour have identified that serial dependence is a common motif for decision-making, with neural representations of past experiences found throughout the brain4,5,6,7,8,9,10,11. However, it remains unclear whether this bias arises from dedicated neural circuits with history-specific...
Repetition Selectively Reconfigures Offset-Defined Temporal Integration in Auditory Cortex
Auditory perception requires integrating sound over time, but whether cortical integration windows are fixed or adaptively shaped by recent sensory history remains unclear. Because auditory offset responses are shaped by the temporal structure preceding sound termination, they provide a readout of offset-defined temporal integration. Here, we recorded single-unit activity in awake rat auditory cortex while presenting 512-ms click trains with inter-click intervals of 1, 2, 4, 8 or 16 ms.
A Na⁺-PINK1 signaling axis couples mitochondrial fission to structural remodeling during synaptic depression
Mitochondrial density in dendrites adapts to the number of synaptic inputs to adequately sustain local ATP and Ca2+ buffering for neuronal signaling. During long-term depression (LTD), synapse elimination is accompanied by activation of caspase-3 through sublethal mitochondria-derived apoptotic signals, driving neurotransmitter receptor internalization and spine shrinking. However, the upstream signals that link synaptic activity to mitochondrial remodeling remain unknown.
A prognostic human brain network for diffuse midline glioma
Abstract Diffuse midline gliomas (DMGs) are near-universally lethal tumours of the childhood central nervous system1,2. In animal models, DMGs form brain-wide integrated networks through neuron-to-glioma synapses3,4,5,6 and glioma-to-glioma gap junctional coupling3. This extensive connectivity robustly promotes the growth and invasion of DMG3,4,5,6,7,8,9 and other glial malignancies10,11,12 through paracrine mechanisms and direct neuron-to-glioma synapses.
Bio-plausible Neuromorphic Disturbance Observer Based on Emulation Theory: Extended Version
arXiv:2606.05189v1 Announce Type: cross Abstract: Biological neural systems achieve remarkable robustness and adaptability in uncertain environments through sparse, event-driven spike-based information processing and adaptive regulation. Inspired by this paradigm, this paper develops a neuromorhpic disturbance observer (NDO) and control framework that replaces conventional continuous-time signal representations with spike-timing encoding. Both disturbance estimates and control inputs are...