1825 papers
This paper introduces Live Spike Sorting (LSS), a robust system built on the Kilosort platform that enables real-time, high-fidelity sorting of single-neuron spikes from large-scale recordings, demonstrating performance comparable to offline methods and superior to traditional threshold-based approaches for applications like brain-computer interfaces.
This study demonstrates that while a zero-shot DeepMReye model has limited accuracy for individual-level gaze prediction from fMRI data, group-averaged estimates effectively capture shared viewing behaviors and successfully reveal brain activation patterns associated with oculomotor control during naturalistic movie viewing.
By training macaque monkeys on multiple tasks and recording prefrontal cortex activity, researchers discovered that flexible multitasking is supported by a three-level hierarchical neural geometry where location codes are nested within subtask spaces that share a generalized ring-like structure, enabling robust generalization across both spatial locations and cognitive demands.
This study challenges the notion of a broadly generalizable involuntary pause process by demonstrating that EMG suppression and behavioral slowing in response to salient stimuli are context-specific, requiring infrequency and temporal delay, while also revealing that synchronous flanker stimuli can accelerate action cancellation.
This study demonstrates through electrophysiological recordings that honeybees integrate olfactory and mechanosensory inputs as early as the antennal lobe, challenging the assumption that such cross-modality processing occurs only in higher brain centers.
This study demonstrates that a synthetic MRI-derived contrast (FD), which is sensitive to myelin and lipid disruption, effectively detects early microstructural vulnerabilities in olfactory and limbic networks associated with odor identification impairment in mild cognitive impairment, offering complementary insights to traditional myelin volume fraction measures.
This study introduces a novel persistence-escape paradigm and a Meta-Arbitration of Control and Agency Q-learning (MACA-Q) model to demonstrate that avoidance is a context-dependent, dynamically regulated response to inferred controllability rather than a stable trait, revealing distinct computational pathways for adaptive and maladaptive engagement in anxiety and depression.
This paper introduces "SENSI-EEG-Preproc-ICA-EKG-Trigger," a semi-automated MATLAB module that accelerates and standardizes the identification of EKG and trigger artifacts in EEG data by leveraging spectral characteristics to prioritize candidate components for efficient, user-verified manual review.
Using data from the ABCD Study, this multistage analysis reveals that while externalizing polygenic liability robustly predicts earlier adolescent substance initiation through both direct genetic pathways and specific brain imaging phenotypes, the neurobiological mediation by baseline brain measures accounts for less than 2% of the total effect, indicating that direct genetic influences are the dominant mechanism.
This study demonstrates that the non-classic psychedelic muscimol, acting through GABAA receptors, suppresses inflammatory signaling and restores neuroplasticity in schizophrenia-derived human cortical spheroids and astrocytes, identifying astrocyte-mediated neuroimmune dysfunction as a key therapeutic target.
This study reveals that the subjective visual experience of working memory relies on a specific cortical hierarchy from the intraparietal sulcus to early visual cortex, where aphantasia arises not from a single region's failure but from a breakdown in feedback signals along this pathway that prevents the transition from visual to mnemonic codes.
This study utilizes longitudinal calcium imaging in the mouse visual cortex to reveal that while population-level novelty responses remain stable, distinct cell types play specialized roles in processing, with SST neurons providing consistent single-cell stability, EXC neurons encoding both specific and non-specific novelty, and VIP neurons uniquely adapting their coding strategies based on the type of novelty encountered.
Using a model-based fMRI approach, this study demonstrates that frontoparietal connector hubs dynamically reconfigure inter-regional communication by utilizing integrated representations of sensory evidence and internal state to generate distinct computational signals—such as entropy, task belief, and prediction error—that selectively modulate connectivity during different stages of a decision-making task.
This study utilizes experience sampling and brain imaging to demonstrate that the stability of human thought is context-dependent rather than intrinsic to specific tasks, revealing that coordinated activity within the multiple-demand network supports stable, goal-focused cognition when deliberate attention is high and distraction is low.
This study utilizes RNAscope fluorescent in situ hybridization to map the rostrocaudal distribution and neurochemical diversity of RXFP3-expressing neurons in the mouse lateral hypothalamus and zona incerta, revealing their co-expression with markers for GABAergic, glutamatergic, and dopaminergic populations involved in stress, arousal, and defensive behaviors.
This study reveals that natural variation in oxytocin receptor (OXTR) levels tunes social behaviors by regulating the transcription of natural killer gene complex (NKC) genes, which modulates microglia-neuron interactions and alters dendritic spine density in the striatum.
The authors present a novel parallel ion beam etching device that enables the efficient, high-resolution 3D reconstruction of millimeter-scale biological samples by simultaneously thinning hundreds of sections collected on a 4-inch wafer, offering a significant improvement over conventional volume electron microscopy methods.
This paper proposes and validates a neural model demonstrating that self-directed learning in zebra finches can be bootstrapped by a local forebrain circuit that uses anti-Hebbian plasticity to predictively cancel memorized tutor songs, thereby generating internal error signals sufficient to guide reinforcement learning without external rewards.
This paper demonstrates that representational magnitude, a geometric property of distributed feature representations in both neural and artificial systems, serves as a general predictor of memorability across visual and lexical domains, suggesting that memory strength is inherent to the intensity and breadth of stimulus encoding.
Using multi-site electrophysiology in freely behaving rats, this study reveals that locus coeruleus activity exhibits state-dependent, inverse dynamics with hippocampal ripples, decreasing prior to ripple onset to suggest a critical role for the LC-NE system in coordinating cortical-subcortical networks for systems-level memory consolidation.