Sanja Karilanova
Assistent med doktoranduppgifter vid Institutionen för elektroteknik; Signaler och system
- E-post:
- sanja.karilanova@angstrom.uu.se
- Besöksadress:
- Ångströmlaboratoriet, Lägerhyddsvägen 1
752 37 UPPSALA - Postadress:
- Box 65
751 03 UPPSALA
Publikationer
Senaste publikationer
-
Bridging Spiking Neural Networks and Deep State-Space Models
2026
-
Delays in Spiking Neural Networks: A State Space Model Approach
2026
-
Time-Varying Deep State Space Models forSequences with Switching Dynamics
2026
-
Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
Ingår i Neural Networks, 2026
- DOI för Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
- Ladda ner fulltext (pdf) av Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
-
Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
Ingår i IEEE Journal on Selected Topics in Signal Processing, s. 1172-1186, 2025
- DOI för Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
- Ladda ner fulltext (pdf) av Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
Alla publikationer
Artiklar i tidskrift
-
Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
Ingår i Neural Networks, 2026
- DOI för Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
- Ladda ner fulltext (pdf) av Zero-shot Temporal Resolution Domain Adaptation for Spiking Neural Networks
-
Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
Ingår i IEEE Journal on Selected Topics in Signal Processing, s. 1172-1186, 2025
- DOI för Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
- Ladda ner fulltext (pdf) av Low-Bit Data Processing Using Multiple-Output Spiking Neurons With Non-Linear Reset Feedback
-
Spike timing–based coding in neuromimetic tactile system enables dynamic object classification
Ingår i Science, s. 660-665, 2024
- DOI för Spike timing–based coding in neuromimetic tactile system enables dynamic object classification
- Ladda ner fulltext (pdf) av Spike timing–based coding in neuromimetic tactile system enables dynamic object classification
Doktorsavhandlingar, sammanläggning
Konferensbidrag
-
Delays in Spiking Neural Networks: A State Space Model Approach
2026
-
Time-Varying Deep State Space Models forSequences with Switching Dynamics
2026
-
State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons
Ingår i 2025 Neuro Inspired Computational Elements (NICE), 2025
- DOI för State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons
- Ladda ner fulltext (pdf) av State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons