A5000844533- Neural dynamics and brain function
- Neural Networks and Applications
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- EEG and Brain-Computer Interfaces
- Neurobiology and Insect Physiology Research
- stochastic dynamics and bifurcation
- Algorithms and Data Compression
- Advanced Image Processing Techniques
- Cryptography and Data Security
- Privacy-Preserving Technologies in Data
- Olfactory and Sensory Function Studies
- Nonlinear Dynamics and Pattern Formation
- Computability, Logic, AI Algorithms
- Advanced Chemical Sensor Technologies
- Image Processing Techniques and Applications
- Fractal and DNA sequence analysis
- Neural Networks and Reservoir Computing
- Photoreceptor and optogenetics research
- Hand Gesture Recognition Systems
- Image and Signal Denoising Methods
- User Authentication and Security Systems
- Complex Network Analysis Techniques
- Face and Expression Recognition
- Insect and Arachnid Ecology and Behavior
Universidad Autónoma de Madrid
2015-2024
Universidade de Santiago de Compostela
2023
Universidad Complutense de Madrid
2004-2019
University of Calgary
2016-2017
Eucalyptus Research Center
2016
TIE Kinetix (Netherlands)
2015
Universitat Politècnica de Catalunya
2011
Universidad Politécnica de Madrid
2008
University of Puerto Rico-Mayaguez
2002-2004
Wright-Patterson Air Force Base
2004
A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling propagating waves visual cortex Alain Destexhe A3 Dynamics and biomarkers mental disorders Mitsuo Kawato F1 Precise recruitment spiking output at theta frequencies requires dendritic h-channels multi-compartment models oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods reconstruction current sources from extracellular...
The learning process in Boltzmann machines is computationally very expensive. computational complexity of the exact algorithm exponential number neurons. We present a new approximate for machines, based on mean-field theory and linear response theorem. cubic In absence hidden units, we show how weights can be directly computed from fixed-point equation rules. Thus, this case do not need to use gradient descent procedure process. that solutions method are close optimal give significant...
Clinical olfactory tests are used to address hyposmia/anosmia levels in patients with different types of impairments. Typically, a given test is employed clinically and then replaced by new one after certain period use which can range from days several months. There need assess control quality these also for procedure quantify their degradation over time. In this paper we propose protocol employ low-cost artificial noses the quantitative characterization clinical studies. particular, discuss...
We designed a novel assisted closed-loop optimization protocol to improve the efficiency of brain computer interfaces (BCI) based on steady state visually evoked potentials (SSVEP). In traditional paradigms, control over BCI-performance completely depends subjects' ability learn from given feedback cues. By contrast, in proposed both subject and machine share information BCI goal. Generally, innovative assistance consists delivery online together with adaptation stimuli properties. our case,...
The emergence of small handheld devices such as tablets and smartphones, often with touch sensitive surfaces their only input modality, has spurred a growing interest in the subject gestures for human–computer interaction (HCI). It been proven before that eye movements can be consciously controlled by humans to extent performing sequences predefined movement patterns, or "gaze gestures" used HCI purposes desktop computers. Gaze tracked noninvasively using video-based eye-tracking system. We...
Compression distances have been widely used in knowledge discovery and data mining. They are parameter-free, applicable, very effective several domains. However, little has done to interpret their results or explain behavior. In this paper, we take a step toward understanding compression by performing an experimental evaluation of the impact kinds information distortion on compression-based text clustering. We show how progressively removing words such way that complexity document is slowly...
New findings in the nervous system of invertebrates have shown how a number features central pattern generator (CPG) circuits contribute to generation robust flexible rhythms. In this paper we consider recently revealed strategies that living CPGs follow design CPG control paradigms for modular robots. To illustrate them, divide task designing an example robot into independent problems. We formulate each problem general way and provide bio-inspired solution them: locomotion information...
Herein, we describe the formation of silica structures on indium tin oxide (ITO) surfaces using poly-l-lysine (PLL) to template condensation silicic acid. Precisely controlled electrostatic fields were used preposition PLL onto ITO surfaces. Subsequent polypeptide-mediated silicification resulted in with concentration gradients that followed pattern externally applied field deposition PLL. The resulting securely attached surface. technique described here offers an inexpensive and rapid...
The idea of closed-loop interaction in vitro and vivo electrophysiology has been successfully implemented the dynamic clamp concept strongly impacting research membrane synaptic properties neurons. In this paper we show that can be easily generalized to build other kinds protocols beyond (or addition to) electrical stimulation recording neurophysiology behavioral studies for neuroethology. particular, illustrate three different examples goal-driven real-time interactions with drug...
Eye movements can be consciously controlled by humans to the extent of performing sequences predefined movement patterns, or 'gaze gestures'. Gaze gestures tracked noninvasively employing a video-based eye tracking system. hold potential become an emerging input paradigm in context human-computer interaction (HCI) as low-cost trackers more ubiquitous. The viability gaze innovative way control computer rests on how easily they assimilated users and also ability machine learning algorithms...
Imaging plays a key role in many diverse areas of application, such as astronomy, remote sensing, microscopy, and tomography. Owing to imperfections measuring devices (e.g., optical degradations, limited size sensors) instability the observed scene object motion, media turbulence), acquired images can be indistinct, noisy, may exhibit insuffcient spatial temporal resolution. In particular, several external effects blur images. Techniques for recovering original image include blind...
From Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Berlin, Germany. 18–23 July 2009.
The retrieval abilities of spatially uniform attractor networks can be measured by the global overlap between patterns and neural states. However, we found that nonuniform networks, for instance, small-world retrieve fragments (blocks) without performing retrieval. We propose a way to measure local using parameter is related fluctuation block overlaps. Simulation dynamics shows competition phase diagram transition from when storage ratio increases topology becomes more random. A theoretical...
A technique that combines a theoretical description of the electrostatic interaction and artificial neural networks (ANNs) is used to solve an inverse problem in scanning probe microscopy setups. Electrostatic curves calculated by generalized image charge method are train validate ANN order estimate unknown magnitudes highly undetermined To illustrate this technique, we simultaneously tip–sample distance dielectric constant for system composed tip over metallic nanowire. In second example,...