Publicaciones Científicas
Proyecto PDC2023-145841-C33 - NASSAI
Revistas Indexadas (Peer-reviewed)
Total: 11 publicaciones
D. Casanueva-Morato et al., "A Bio-Inspired Implementation of a Sparse-Learning Spike-Based Hippocampus Memory Model," IEEE Transactions on Emerging Topics in Computing, vol. 13, 2025.
🔗 DOI: 10.1109/TETC.2024.3387026Casanueva-Morato, D. et al., "Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview." Advanced Intelligent Systems, 2025.
🔗 DOI: 10.1002/aisy.202400282Daniel Casanueva-Morato et al., "Bio-inspired computational memory model of the Hippocampus: An approach to a neuromorphic spike-based Content-Addressable Memory," Neural Networks, 2024.
🔗 DOI: 10.1016/j.neunet.2024.106474D. Casanueva-Morato et al., "Toward a Dynamic Closed-Loop Neuromorphic Trajectory Interpolation Model," IEEE Transactions on Circuits and Systems II, 2025.
🔗 DOI: 10.1109/TCSII.2025.3582362López-Osorio, P. et al., "A Neuromorphic Vision and Feedback Sensor Fusion Based on Spiking Neural Networks," Advanced Intelligent Systems, 2024.
🔗 DOI: 10.1002/aisy.202300646Ayuso-Martinez, A. et al., "Analog Implementation of a Spiking System for Performing Arithmetic Logic Operations on Mixed-Signal Neuromorphic Processors," Advanced Intelligent Systems, 2025.
🔗 DOI: 10.1002/aisy.202400524Conferencias Internacionales
Total: 10 comunicaciones
D. Casanueva-Morato et al., "Space-Time Smooth Control of Closed-Loop Neuromorphic Robotic Arms Using Spiking Neural Networks," IJCNN 2025, Rome, Italy.
🔗 DOI: 10.1109/IJCNN64981.2025.11228735A. Linares-Barranco et al., "Toward Chiller Condenser Fouling Factor Prediction using Spiking EdgeAI," SMC 2025, Vienna, Austria.
🔗 DOI: 10.1109/SMC58881.2025.11342629D. Casanueva-Morato et al., "Towards spiking analog hardware implementation," ISCAS 2025, London, UK.
🔗 DOI: 10.1109/ISCAS56072.2025.11043548J. M. Montes-Sánchez et al., "Neuromorphic Audio Dataset for Predictive Maintenance in Peristaltic Pumps," ISCAS 2025, London, UK.
🔗 DOI: 10.1109/ISCAS56072.2025.11044258X. Iturbe, A. Linares-Barranco et al., "Neuromorphic Technology Insights in Spain," IEEE NANO 2024, Gijón, Spain.
🔗 DOI: 10.1109/NANO61778.2024.10669907E. Piñero-Fuentes et al., "A Hybrid Neuromorphic Robotic-Arm Lemniscate Trajectories Dataset for Learning-Based Applications," ICECS 2024, Nancy, France.
🔗 DOI: 10.1109/ICECS61496.2024.10849213A. Linares-Barranco et al., "Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator," ICECS 2024, Nancy, France.
🔗 DOI: 10.1109/ICECS61496.2024.10849226D. Casanueva-Morato et al., "Integrating a hippocampus memory model into a neuromorphic robotic-arm for trajectory navigation," ISCAS 2024, Singapore.
🔗 DOI: 10.1109/ISCAS58744.2024.10558362Acceso Abierto & Repositorios
Total: 3 publicaciones
Linares-Barranco, A. et al., "Training and inference in the ReckON RSNN architecture implemented on a MPSoC," arXiv:2405.12849v1, 2024.
🔗 arXiv: 2405.12849Casanueva-Morato, D. et al., "A Computational Approach to a Neuromorphic Sequential Memory Bio-Inspired on the Hippocampus and Entorhinal Cortex Formation," STEMEPS 2023, Springer, 2024.
🔗 DOI: 10.1007/978-3-031-64106-0_41Ayuso-Martinez, A. et al., "A SNN-Based Implementation of a Spiking Counter for Filtering and Processing Spike Trains in Real Time," STEMEPS 2023, Springer, 2024.
🔗 DOI: 10.1007/978-3-031-64106-0_38Tesis Doctorales Asociadas
Finalizadas (5)
- ✓ Daniel Casanueva Morato - Arquitecturas Neuromórficas para el Hipocampo
- ✓ Álvaro Ayuso Martínez - Computación Neuromórfica Pulsante
- ✓ Enrique Piñero Fuentes - Arquitecturas Neuromórficas para Fusión Sensorial
- ✓ Juan Manuel Montes - Sistemas Neuromórficos para Mantenimiento Predictivo
- ✓ Rahma Mani - Optimización en Redes de Sensores Inalámbricas
En Marcha (4)
- → Dagnier A. Curra Sosa - Acelerador CNN basado en eventos
- → Diógenes Enrique Trejos - Control Neuromórfico Dinámico
- → Antonio Manuel Pérez - Algoritmos de IA para Detección de Cáncer
- → Santiago Díaz Romero - Control Neuromórfico de Sistemas Robóticos