Garg, N., Balafrej, I., Palhares, J., Begon-Lours, L., Florini, D., Falcone, D., Stecconi, T., Bragaglia, V., Offrein, B., Portal, J.-M., Querlioz, D., Beilliard, Y., Drouin, D., Alibart, F.

Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses.

Communications Materials 7, 19 (2026)

DOI ↗

Balafrej, I., Bahadi, S., Rouat, J., Alibart, F.

Enhancing Temporal Learning in Recurrent Spiking Networks for Neuromorphic Applications.

Neuromorphic Computing and Engineering (2025)

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Balafrej, I., Dahmane, M.

Enhancing Practicality and Efficiency of Deepfake Detection.

Scientific Reports (2024)

DOI ↗

Balafrej, I., Janzakova, K., Kumar, A., Garg, N., Scholaert, C., Rouat, J., Drouin, D., Coffinier, Y., Pecqueur, S., Alibart, F.

Structural Plasticity for Neuromorphic Networks with Electropolymerized Dendritic PEDOT Connections.

Nature Communications (2023)

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Goupy, G., Juneau-Fecteau, A., Garg, N., Balafrej, I., Alibart, F., Frechette, L., Drouin, D., Beilliard, Y.

Unsupervised and efficient learning in sparsely activated convolutional spiking neural networks enabled by voltage-dependent synaptic plasticity.

Neuromorphic Computing and Engineering (2023)

DOI ↗

Garg, N., Balafrej, I., Stewart, C. T., Portal, J.-M., Bocquet, M., Querlioz, D., Drouin, D., Rouat, J., Beilliard, Y., Alibart, F.

Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential.

Frontiers in Neuroscience (2022)

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Balafrej, I., Alibart, F., Rouat, J.

P-CRITICAL: a reservoir autoregulation plasticity rule for neuromorphic hardware.

Neuromorphic Computing and Engineering (2022)

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Garg, N., Balafrej, I., Beilliard, Y., Drouin, D., Alibart, F., Rouat, J.

Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition.

International Conference on Neuromorphic Systems (ICONS 2021), ACM

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Celotti, L., Balafrej, I., Calvet, E.

Improving Zero-Shot Neural Architecture Search with Parameters Scoring.

(2020)

Presentations

  • 2022 Garg, N., Balafrej, I., et al. Unsupervised Learning with Ferroelectric Synapses. IEEE 52nd European Solid-State Device Research Conference (2022).
  • 2021 Balafrej, I., Alibart, F., Rouat, J. Neuromorphic Reservoirs for Energy-Efficient Task-Abstract Machine Learning Devices. Neural Interfaces and Systems Symposium (2021).
  • 2021 Balafrej, I. Building hardware-friendly models for neuromorphic engineering. Workshop at the University of Montreal (2021).
  • 2021 Garg, N., Balafrej, I., et al. Signals to Spikes for Neuromorphic Regulated Reservoir Computing. ICONS 2021, ACM.
  • 2020 Balafrej, I., Rouat, J. P-CRITICAL: A Reservoir Autoregulation Plasticity Rule Designed for Loihi. Intel Neuromorphic Research Community Forum (2020).
  • 2019 Balafrej, I., Rouat, J. Running the CRITICAL Plasticity Rule for Loihi. 3rd Intel Neuromorphic Research Community Workshop, Austria (2019).
  • 2018 Tremblay, J.P., Balafrej, I., et al. A Cooperative Visually Grounded Dialogue Game with a Humanoid Robot. NeurIPS 2018, Demonstration track.