[HTML][HTML] The technology, opportunities and challenges of synthetic biological intelligence

BJ Kagan, C Gyngell, T Lysaght, VM Cole… - Biotechnology …, 2023 - Elsevier
Integrating neural cultures developed through synthetic biology methods with digital
computing has enabled the early development of Synthetic Biological Intelligence (SBI) …

Functional characterization of human pluripotent stem cell-derived models of the brain with microelectrode arrays

A Pelkonen, C Pistono, P Klecki, M Gómez-Budia… - Cells, 2021 - mdpi.com
Human pluripotent stem cell (hPSC)-derived neuron cultures have emerged as models of
electrical activity in the human brain. Microelectrode arrays (MEAs) measure changes in the …

[HTML][HTML] Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish

L Smirnova, BS Caffo, DH Gracias, Q Huang… - Frontiers in …, 2023 - frontiersin.org
Biological computing (or biocomputing) offers potential advantages over silicon-based
computing in terms of faster decision-making, continuous learning during tasks, and greater …

SpikeInterface, a unified framework for spike sorting

AP Buccino, CL Hurwitz, S Garcia, J Magland… - Elife, 2020 - elifesciences.org
Much development has been directed toward improving the performance and automation of
spike sorting. This continuous development, while essential, has contributed to an over …

SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters

J Magland, JJ Jun, E Lovero, AJ Morley, CL Hurwitz… - Elife, 2020 - elifesciences.org
Spike sorting is a crucial step in electrophysiological studies of neuronal activity. While many
spike sorting packages are available, there is little consensus about which are most …

Spike sorting: new trends and challenges of the era of high-density probes

AP Buccino, S Garcia, P Yger - Progress in Biomedical …, 2022 - iopscience.iop.org
Recording from a large neuronal population of neurons is a crucial challenge to unravel how
information is processed by the brain. In this review, we highlight the recent advances made …

缺失数据处理方法研究综述.

熊中敏, 郭怀宇, 吴月欣 - Journal of Computer Engineering …, 2021 - search.ebscohost.com
大数据时代, 数据爆炸式的增长, 数据获取变得更容易的同时数据缺失现象也更加普遍.
数据的缺失极大地降低了数据的实用性. 数据缺失问题的处理成为大数据处理的热点研究课题 …

Revealing single-neuron and network-activity interaction by combining high-density microelectrode array and optogenetics

T Kobayashi, K Shimba, T Narumi, T Asahina… - Nature …, 2024 - nature.com
The synchronous activity of neuronal networks is considered crucial for brain function.
However, the interaction between single-neuron activity and network-wide activity remains …

Building population models for large-scale neural recordings: Opportunities and pitfalls

C Hurwitz, N Kudryashova, A Onken… - Current opinion in …, 2021 - Elsevier
Modern recording technologies now enable simultaneous recording from large numbers of
neurons. This has driven the development of new statistical models for analyzing and …

Microelectrode recordings in human epilepsy: a case for clinical translation

A Chari, RC Thornton, MM Tisdall… - Brain …, 2020 - academic.oup.com
With their 'all-or-none'action potential responses, single neurons (or units) are accepted as
the basic computational unit of the brain. There is extensive animal literature to support the …