schematic of neural recordings from mouse V1, whole-brain, and hippocampus; neural activity traces from the population, showing more correlated activity in V1 and whole-brain recordings versus more decorrelated activity in hippocampus
What ifβ¦ spontaneous neural activity π§ reflects the baseline rumblings of a brainwide dynamical system initialized for learning? We find that the rumblings have macroscopic properties like those emerging from linear symmetric, critical systems π§΅ #neuroscience #neuroAI www.biorxiv.org/content/10.1...
12.01.2025 19:55 β π 302 π 82 π¬ 9 π 0
Our manuscript preprint is out!
17.01.2025 09:15 β π 1 π 2 π¬ 0 π 0
Our work demonstrates that the emergence of intrinsic computational architectures, defined by low- and high-dimensional activity patterns and neuronal sequences, is an emergent property of neuronal self-assembly and achievable in brain organoid models.
09.01.2025 19:26 β π 1 π 0 π¬ 0 π 0
Phenomena such as "preplay," pre-existing sequence motifs are thought to encode novel experiences and underlie episodic memory retrieval in the human cortex. These motifs have recently been shown to encode non-redundant information beyond latency and rate encoding.
09.01.2025 19:26 β π 0 π 0 π¬ 1 π 0
The use of neuronal sequences to encode sensory input and motor output has been widely studied. However, whether these sequences arise innately through neurogenesis and synaptogenesis (nature) or emerge through sequential experience (nurture) remains unresolved.
09.01.2025 19:26 β π 0 π 0 π¬ 1 π 0
This conclusion can be made most powerfully in a brain organoid that does not have the intimate developmental interaction with other organ systems and thus excludes an internal setting due to cardiac signals, for example, of brain rhythms.
09.01.2025 19:26 β π 0 π 0 π¬ 1 π 0
Employing human and murine brain organoids alongside ex vivo neonatal murine brain slices, we demonstrate that intrinsic neuronal sequences, which delineate low- and high-dimensional latent subspaces for information encoding, emerge independently of sensory experience.
09.01.2025 19:26 β π 0 π 0 π¬ 1 π 0
In our updated manuscript we present strong evidence supporting the pre-configured brain hypothesis. Separating the effects of experience from intrinsic network dynamics has historically been challenging due to experimental limitations.
09.01.2025 19:26 β π 0 π 0 π¬ 1 π 0
Professor, Department of Psychology and Center for Brain Science, Harvard University
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Postdoc in Uchida Lab, Harvard (dopamine, learning, circuit computation) | PhD in Giocomo lab, Stanford (grid cells, path integration, navigation) | NIH NIDA K99/R00 | Bridging theory and biology of animal learning and decision making
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