A Novel Approach for Quantitative Analysis of 3D Phosphenes. - Cristina Soto-Sánchez; Andrés Olmedo-Payá; D. de Santos-Sierra; C. Agullo; Eduardo Fernández 001 (IWINAC (1), 2013)

A 330μW, 64-channel neural recording sensor with embedded spike feature extraction and auto-calibration. - Alberto Rodríguez-Pérez; Manuel Delgado-Restituto; Angela A. Darie; Cristina Soto-Sánchez; Eduardo Fernández-Jover; Ángel Rodríguez-Vázquez (A-SSCC, 2014)

In vivo measurements with a 64-channel extracellular neural recording integrated circuit. - Manuel Delgado-Restituto; Alberto Rodríguez-Pérez; Angela A. Darie; Ángel Rodríguez-Vázquez; Cristina Soto-Sánchez; Eduardo Fernández-Jover (ICECS, 2014)

Interstimulus Interval Affects Population Response in Visual Cortex in vivo. - Javier Alegre-Cortés; Eduardo Fernández 001; Cristina Soto-Sánchez (IWINAC (1), 2015)

Toward an Improvement of the Analysis of Neural Coding. - Javier Alegre-Cortés; Cristina Soto-Sánchez; Ana Lía Albarracín; Fernando Farfán; Mikel Val-Calvo; José M. Ferrández; Eduardo Fernández 001 (Frontiers Neuroinformatics, 2017)

System-Level Design of a 64-Channel Low Power Neural Spike Recording Sensor. - Manuel Delgado-Restituto; Alberto Rodríguez-Pérez; Angela A. Darie; Cristina Soto-Sánchez; Eduardo Fernández-Jover; Ángel Rodríguez-Vázquez (IEEE Trans. Biomed. Circuits Syst., 2017)

A 3D Convolutional Neural Network to Model Retinal Ganglion Cell's Responses to Light Patterns in Mice. - Antonio Lozano; Cristina Soto-Sánchez; F. Javier Garrigós-Guerrero; J. Javier Martínez; José Manuel Ferrández; Eduardo Fernández 001 (Int. J. Neural Syst., 2018)

Neurolight Alpha: Interfacing Computational Neural Models for Stimulus Modulation in Cortical Visual Neuroprostheses. - Antonio Lozano; Juan Sebastián Suárez; Cristina Soto-Sánchez; F. Javier Garrigós; José Javier Martínez 001; José Manuel Ferrández de Vicente; Eduardo Fernández-Jover (IWINAC (1), 2019)

Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses. - Antonio Lozano; Juan Sebastián Suárez; Cristina Soto-Sánchez; F. Javier Garrigós; J. Javier Martínez-Álvarez; José Manuel Ferrández; Eduardo Fernández 001 (Int. J. Neural Syst., 2020)

Using Biologically-inspired Image Features to Model Retinal Response: Evidence from Biological Datasets. - Nikos Melanitis; Giorgos Nakopoulos; Antonio Lozano; Cristina Soto-Sánchez; Eduardo Fernández 001; Konstantina S. Nikita (EMBC, 2021)

Machine Learning Method for Functional Assessment of Retinal Models. - Nikolas Papadopoulos; Nikos Melanitis; Antonio Lozano; Cristina Soto-Sánchez; Eduardo Fernández 001; Konstantina S. Nikita (EMBC, 2021)

Performance Evaluation of a Real-Time Phase Estimation Algorithm Applied to Intracortical Signals from Human Visual Cortex. - Fabrizio Grani; Cristina Soto-Sánchez; Alfonso Rodil Doblado; Maria Dolores Grima; Fernando Farfán; Mikel Val-Calvo; Leili Soo; Dorota Waclawczyk; José Manuel Ferrández; Pablo Gonzalez; María Dolores Coves; Arantxa Alfaro; et al. (IWINAC (1), 2022)

Development and Validation of a Novel Technology for Postural Analysis and Human Kinematics. - Rocío López-Peco; Roberto Morollón Ruiz; Cristina Soto-Sánchez; Eduardo Fernández 001 (IWINAC (1), 2022)

Advances in Denoising Spikes Waveforms for Electrophysiological Recordings. - Rocío López-Peco; Mikel Val-Calvo; Cristina Soto-Sánchez; Eduardo Fernández 001 (IWINAC, 2024)

Neuronal Waveform Classification in Multielectrode Recordings Using Machine Learning Techniques and Multidimensional Analysis. - Rocío López-Peco; Mikel Val-Calvo; Cristina Soto-Sánchez; Adrián Villamarin-Ortiz; Gloria Ruiz-Boix; José Manuel Ferrández-Vicente; Eduardo Fernández 001 (Int. J. Neural Syst., 2025)