Juan Luis Riquelme
A5008466385- Neural dynamics and brain function
- Neuroscience and Neuropharmacology Research
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural Networks and Applications
- Advanced Memory and Neural Computing
- Photoreceptor and optogenetics research
- Memory and Neural Mechanisms
- Sleep and Wakefulness Research
- Neuroscience and Neural Engineering
- stochastic dynamics and bifurcation
- Circadian rhythm and melatonin
- Music Technology and Sound Studies
- Neurobiology and Insect Physiology Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
- Optical Imaging and Spectroscopy Techniques
- Cell Image Analysis Techniques
- Gene Regulatory Network Analysis
- Music and Audio Processing
École Polytechnique Fédérale de Lausanne
2015-2024
Max Planck Institute for Brain Research
2021-2024
Riga Technical University
2024
Newcastle University
2024
Technical University of Munich
2021-2023
Abstract Our understanding of the functions and mechanisms sleep remains incomplete, reflecting their increasingly evident complexity 1–3 . Likewise, studies interhemispheric coordination during 4–6 are often hard to connect precisely known circuits mechanisms. Here, by recording from claustra sleeping bearded dragons ( Pogona vitticeps ), we show that, although onsets offsets rapid-eye-movement (REM P ) slow-wave coordinated bilaterally, these two states differ markedly in inter-claustral...
The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range...
The CA1 region of the hippocampus is one most studied regions rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth experimental data on its structure function, it has been challenging integrate information obtained from diverse approaches. To address this challenge, we present community-based, full-scale silico model rat that integrates broad range data, synapse network, including reconstruction principal afferents,...
The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range...
Single spikes can trigger repeatable firing sequences in cortical networks. The mechanisms that support reliable propagation of activity from such small events and their functional consequences remain unclear. By constraining a recurrent network model with experimental statistics turtle cortex, we generate temporally precise single spike triggers. We find rare strong connections sequence propagation, while dense weak modulate reliability. identify sections corresponding to divergent branches...
Abstract The CA1 region of the hippocampus is one most studied regions rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth experimental data on its structure function, it has been challenging reconcile information obtained from diverse approaches. To address this challenge, we present community-driven, full-scale silico model rat that integrates broad range data, synapse network, including reconstruction principal...
The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local, mid-range...
Abstract The function of the neocortex is fundamentally determined by its repeating microcircuit motif, but also rich, interregional connectivity. We present a data-driven computational model anatomy non-barrel primary somatosensory cortex juvenile rat, integrating whole-brain scale data while providing cellular and subcellular specificity. consists 4.2 million morphologically detailed neurons, placed in digital brain atlas. They are connected 14.2 billion synapses, comprising local,...
Neuroscientists are increasingly initiating large-scale collaborations which bring together tens to hundreds of researchers. However, while these projects represent a step-change in scale, they retain traditional structure with centralised funding, participating laboratories and data sharing on publication. Inspired by an open-source project pure mathematics, we set out test the feasibility alternative running grassroots, massively collaborative computational neuroscience. To do so, launched...
Abstract The mechanisms underlying the mammalian ultradian sleep rhythm—the alternation of rapid-eye-movement (REM) and slow-wave (SW) states—are not well understood but probably depend, at least in part, on circuits brainstem 1–6 . Here, we use perturbation experiments to probe this rhythm sleeping lizards ( Pogona vitticeps ) 7–9 test hypothesis that it originates a central pattern generator 10,11 —circuits are typically susceptible phase-dependent reset entrainment by external stimuli 12...
Repeating sequences of neural activity exist across diverse brain regions different animals and are thought to underlie computations. However, their emergence evolution in the presence ongoing synaptic plasticity remain poorly understood. To gain mechanistic insights into this process, we modeled how biologically-inspired rules activity-dependent recurrent circuits interact produce connectivity structures that support sequential neuronal activity. Even under unstructured inputs, our networks...
Abstract Single spikes can trigger repeatable firing sequences in cortical networks. The mechanisms that support reliable propagation of activity from such small events and their functional consequences remain unclear. By constraining a recurrent network model with experimental statistics turtle cortex, we generate temporally precise single spike triggers. We find rare strong connections sequence propagation, while dense weak modulate reliability. identify sections corresponding to divergent...