A5042414439- Neural dynamics and brain function
- Vestibular and auditory disorders
- Advanced Memory and Neural Computing
- Hearing, Cochlea, Tinnitus, Genetics
- Visual perception and processing mechanisms
- Neural Networks and Applications
- Cell Image Analysis Techniques
- Single-cell and spatial transcriptomics
- Glaucoma and retinal disorders
- Motor Control and Adaptation
- Neural Networks and Reservoir Computing
- Ophthalmology and Eye Disorders
- Neuroscience and Neural Engineering
- Functional Brain Connectivity Studies
- Teleoperation and Haptic Systems
- Genetic Neurodegenerative Diseases
- Action Observation and Synchronization
- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Neurological disorders and treatments
- Tactile and Sensory Interactions
Universidad de Granada
2016-2025
Baylor College of Medicine
2022-2025
Robotics Research (United States)
2025
Universidad Politécnica de Madrid
2021
Abstract High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but don’t reveal cell type. Here, we develop a strategy to identify types extracellular in awake animals, revealing the computational roles of with distinct functional, molecular, and anatomical properties. We combine optogenetic activation pharmacology using cerebellum as testbed generate curated ground-truth library properties for Purkinje cells, molecular layer...
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simulating small-scale spiking neural networks. Nevertheless, they still have drawbacks large-scale systems. Conversely, event-driven CPUs time-driven graphic processing units (GPUs) can outperform under certain conditions. With this performance improvement mind, we developed an event-and-time-driven network simulator suitable for a hybrid CPU-GPU platform. Our is able to efficiently simulate...
The biomimetic temporal learning of a cerebellar-like SNN allows compliant cobot control under long nondeterministic latency.
Goal: In this study, we defined a realistic cerebellar model through the use of artificial spiking neural networks, testing it in computational simulations that reproduce associative motor tasks multiple sessions acquisition and extinction. Methods: By evolutionary algorithms, tuned microcircuit to find out near-optimal plasticity mechanism parameters better reproduced human-like behavior eye blink classical conditioning, one most extensively studied paradigms related cerebellum. We used two...
Deep cerebellar nuclei neurons receive both inhibitory (GABAergic) synaptic currents from Purkinje cells (within the cortex) and excitatory (glutamatergic) mossy fibers. Those two deep nucleus inputs are thought to be also adaptive, embedding interesting properties in framework of accurate movements. We show that distributed spike-timing-dependent plasticity mechanisms (STDP) located at different sites (parallel fibers cells, cells) close-loop simulations provide an explanation for complex...
The work presented here is a novel biological approach for the compliant control of robotic arm in real time (RT). We integrate spiking cerebellar network at core feedback loop performing torque-driven control. controller provides torque commands allowing accurate and coordinated movements. To compute these output motor commands, receives robot's sensorial signals, goal behavior, an instructive signal. These input signals are translated into set evolving patterns representing univocally...
Modeling and simulating the neural structures which make up our central system is instrumental for deciphering computational cues beneath. Higher levels of biological plausibility usually impose higher complexity in mathematical modeling, from to behavioral levels. This paper focuses on overcoming simulation problems (accuracy performance) derived using at a level. study proposes different techniques models that hold incremental complexity: leaky integrate-and-fire (LIF), adaptive...
We embed a spiking cerebellar model within an adaptive real-time (RT) control loop that is able to operate real robotic body (iCub) when performing different vestibulo-ocular reflex (VOR) tasks. The neural network computation, including event- and time-driven dynamics, activity, spike-timing dependent plasticity (STDP) mechanisms, leads nondeterministic computation time caused by the activity volleys encountered during simulation. This motivates integration of RT supervisor module ensure...
Cerebellar Purkinje cells mediate accurate eye movement coordination. However, it remains unclear how oculomotor adaptation depends on the interplay between characteristic cell response patterns, namely tonic, bursting, and spike pauses. Here, a spiking cerebellar model assesses role of firing patterns in vestibular ocular reflex (VOR) adaptation. The captures microcircuit properties incorporates spike-based synaptic plasticity at multiple sites. A detailed reproduces three spike-firing that...
NestMC is a new multicompartment neural network simulator currently under development as collaboration between the Simulation Lab Neuroscience at Forschungszentrum Jülich, Barcelona Supercomputing Center and Swiss National Center.NestMC will enable scales classes of morphologically detailed neuronal simulations on current future supercomputing architectures.A number "many-core" architectures such GPU Intel Xeon Phi based systems are available.To optimally use these emerging architecture...
Supervised learning has long been attributed to several feed-forward neural circuits within the brain, with attention being paid cerebellar granular layer. The focus of this study is evaluate input activity representation these networks. granule cells conveyed by parallel fibers and translated into Purkinje cell activity; sole output cortex. process at parallel-fiber-to-Purkinje-cell connection makes each sensitive a set specific states, determined granule-cell during certain time window. A...
The vestibulo-ocular reflex (VOR) stabilizes vision during head motion. Age-related changes of vestibular neuroanatomical properties predict a linear decay VOR function. Nonetheless, human epidemiological data show stable function across the life span. In this study, we model cerebellum-dependent adaptation to relate structural and functional throughout aging. We consider three neurosynaptic factors that may codetermine aging: electrical coupling inferior olive neurons, long-term spike...
The inferior olivary (IO) nucleus makes up the signal gateway for several organs to cerebellar cortex. Located within sensory-motor-cerebellum pathway, IO axons, i.e., climbing fibres (CFs), massively synapse onto Purkinje cells (PCs) regulating motor learning whilst receives negative feedback through GABAergic nucleo-olivary (NO) pathway. NO pathway regulates electrical coupling (EC) amongst thus facilitating synchrony and timing. However, involvement of this EC regulation on adaptive...
The basal ganglia (BG) represent a critical center of the nervous system for sensorial discrimination. Although it is known that Huntington’s disease (HD) affects this brain area, still remains unclear how HD patients achieve paradoxical improvement in discrimination tasks. This paper presents computational model BG including main nuclei and typical firing properties their neurons. has been embedded within an auditory signal detection task. We have emulated effect altered levels dopamine...
Nowadays, research in computational neuroscience is progressively demanding both detailed biologically-plausible neuron models and, at the same time, simulation of large-scale neural networks order to better understand operation specific nervous circuits central system. To that aim, several simulators have been developed during last decades; these conceived either simulate within small-scale (NEURON [1] and GENESIS [2]), or with low degree biophysical detail (Brian [3] NEST [4]). In view...
A bstract The function of the olivary nucleus is key to cerebellar adaptation as it modulates long term synaptic plasticity between parallel fibres and Purkinje cells. Here, we posit that neural dynamics inferior olive (IO) network, in particular phase subthreshold oscillations with respect afferent excitatory inputs, plays a role sensorimotor adaptation. To test this hypothesis, first modelled network 200 multi-compartment Hodgkin-Huxley IO cells, electrically coupled via anisotropic gap...
Abstract Cerebellar Purkinje cells mediate accurate eye movement coordination. However, it remains unclear how oculomotor adaptation depends on the interplay between characteristic cell response patterns, namely tonic, bursting, and spike pauses. Here, a spiking cerebellar model assesses role of firing patterns in vestibular ocular reflex (VOR) adaptation. The captures microcircuit properties incorporates spike-based synaptic plasticity at multiple sites. A detailed reproduces three...
Studying and understanding the computational primitives of our neural system requires for a diverse complementary set techniques. In this work, we use Neuro-robotic Platform (NRP)to evaluate vestibulo ocular cerebellar adaptatIon (Vestibulo-ocular reflex, VOR)mediated by two STDP mechanisms located at molecular layer vestibular nuclei respectively. This simulation study adopts an experimental setup (rotatory VOR)widely used neuroscientists to better understand contribution certain specific...
Abstract The vestibulo-ocular reflex (VOR) stabilizes vision during head motion. Age-related changes of vestibular neuroanatomical properties predict a linear decay VOR function. Nonetheless, human epidemiological data show stable function across the life span. In this study, we model cerebellum-dependent adaptation to relate structural and functional throughout aging. We consider three neurosynaptic factors that may codetermine aging: electrical coupling inferior olive neurons, intrinsic...