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Recurrent models of orientation selectivity enable robust early-vision processing in mixed-signal neuromorphic hardware.
Nat Commun
January 2025
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, Via Opera Pia 13, I-16145, Genoa, Italy.
Mixed signal analog/digital neuromorphic circuits represent an ideal medium for reproducing bio-physically realistic dynamics of biological neural systems in real-time. However, similar to their biological counterparts, these circuits have limited resolution and are affected by a high degree of variability. By developing a recurrent spiking neural network model of the retinocortical visual pathway, we show how such noisy and heterogeneous computing substrate can produce linear receptive fields tuned to visual stimuli with specific orientations and spatial frequencies.
View Article and Find Full Text PDFUncovering Emergent Spacetime Supersymmetry with Rydberg Atom Arrays.
Phys Rev Lett
November 2024
Institute for Advanced Study, Tsinghua University, Beijing 100084, China.
In the zoo of emergent symmetries in quantum many-body physics, the previously unrealized emergent spacetime supersymmetry (SUSY) is particularly intriguing. Although it was known that spacetime SUSY could emerge at the (1+1)d tricritical Ising transition, an experimental realization is still absent. In this Letter, we propose to realize emergent spacetime SUSY using reconfigurable Rydberg atom arrays featuring two distinct sets of Rydberg excitations, tailored for implementation on dual-species platforms.
View Article and Find Full Text PDFLPI Radar Waveform Recognition Based on Hierarchical Classification Approach and Maximum Likelihood Estimation.
Entropy (Basel)
October 2024
Department of Intelligent Semiconductors, Soongsil University, Seoul 06978, Republic of Korea.
The importance of information gathering is emphasized to minimize casualties and economic losses in warfare. Through electronic warfare, which utilizes electromagnetic waves, it is possible to discern the enemy's intentions and respond accordingly, thereby leading the battle advantageously. Consequently, related research is actively underway.
View Article and Find Full Text PDFBeatie Wolfe: Designing for the Experience of Analog-Digital Symbiosis.
IEEE Comput Graph Appl
January 2024
We have enjoyed getting to know Beatie Wolfe after finding her work to be compelling for its consistent ability to use art and communication to build bridges between different societal worlds. Beatie is a multimedia artist who started her career reimagining the ceremonial experiences of analog music formats, creating a new series of retro-future designs for the digital age, and now perfects an artistic process, which melds art and science and other disciplines to create stunning multifaceted installations that draw huge enthusiastic audiences when displayed in public.
View Article and Find Full Text PDFA Reconfigurable, Nonlinear, Low-Power, VCO-Based ADC for Neural Recording Applications.
Sensors (Basel)
September 2024
Dipartimento di Ingegneria Navale, Elettrica, Elettronica e delle Telecomunicazioni (DITEN), University of Genoa, 16145 Genoa, Italy.
Neural recording systems play a crucial role in comprehending the intricacies of the brain and advancing treatments for neurological disorders. Within these systems, the analog-to-digital converter (ADC) serves as a fundamental component, converting the electrical signals from the brain into digital data that can be further processed and analyzed by computing units. This research introduces a novel nonlinear ADC designed specifically for spike sorting in biomedical applications.
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