5 papers
Learning to See via Epiretinal Implant Stimulation in silico with Model-Based Deep Reinforcement Learning
Jacob Lavoie, Marwan Besrour, William Lemaire +3
Objective: Diseases such as age-related macular degeneration and retinitis pigmentosa cause the degradation of the photoreceptor layer. One approach to restore vision is to electri…
Scalable 49-Channel Neural Recorder with an Event-Driven Ramp ADC and PCA Compression in 28 nm CMOS
William Lemaire, Esmaeil Ranjbar Koleibi, Maher Benhouria +11
Neural interfaces advance neuroscience research and therapeutic innovations by accurately measuring neuronal activity. However, recording raw data from numerous neurons results in…
A 1.6-fJ/Spike Subthreshold Analog Spiking Neuron in 28 nm CMOS
Marwan Besrour, Takwa Omrani, Jacob Lavoie +7
The computational complexity of deep learning algorithms has given rise to significant speed and memory challenges for the execution hardware. In energy-limited portable devices, h…
Design and Implementation of a Low-Power Low-Noise Biopotential Amplifier in 28 nm CMOS Technology with a Compact Die-Area of 2500 m
Esmaeil Ranjbar Koleibi, Konin Koua, William Lemaire +9
This paper presents a compact low-power, low-noise bioamplifier for multi-channel electrode arrays, aimed at recording action potentials. The design we put forth attains a notable…
Feasibility Assessment of an Optically Powered Digital Retinal Prosthesis Architecture for Retinal Ganglion Cell Stimulation
William Lemaire, Maher Benhouria, Konin Koua +12
Clinical trials previously demonstrated the notable capacity to elicit visual percepts in blind patients affected with retinal diseases by electrically stimulating the remaining ne…