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  1. No Access

    Article

    Reservoir computing with brain organoids

    Brain organoids — integrated with electrophysiological recording hardware — can be used to create reservoir computing systems.

    Lena Smirnova, Brian Caffo, Erik C. Johnson in Nature Electronics (2023)

  2. Article

    Open Access

    A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains

    Negative correlations in the sequential evolution of interspike intervals (ISIs) are a signature of memory in neuronal spike-trains. They provide coding benefits including firing-rate stabilization, improved d...

    Robin S. Sidhu, Erik C. Johnson, Douglas L. Jones, Rama Ratnam in Biological Cybernetics (2022)

  3. Article

    Open Access

    Author Correction: A framework for rigorous evaluation of human performance in human and machine learning comparison studies

    Hannah P. Cowley, Mandy Natter, Karla Gray-Roncal, Rebecca E. Rhodes in Scientific Reports (2022)

  4. Article

    Open Access

    A framework for rigorous evaluation of human performance in human and machine learning comparison studies

    Rigorous comparisons of human and machine learning algorithm performance on the same task help to support accurate claims about algorithm success rates and advances understanding of their performance relative ...

    Hannah P. Cowley, Mandy Natter, Karla Gray-Roncal, Rebecca E. Rhodes in Scientific Reports (2022)

  5. Article

    Open Access

    Author Correction: Online learning for orientation estimation during translation in an insect ring attractor network

    Brian S. Robinson, Raphael Norman-Tenazas, Martha Cervantes in Scientific Reports (2022)

  6. Article

    Open Access

    Online learning for orientation estimation during translation in an insect ring attractor network

    Insect neural systems are a promising source of inspiration for new navigation algorithms, especially on low size, weight, and power platforms. There have been unprecedented recent neuroscience breakthroughs w...

    Brian S. Robinson, Raphael Norman-Tenazas, Martha Cervantes in Scientific Reports (2022)

  7. Article

    Open Access

    DotMotif: an open-source tool for connectome subgraph isomorphism search and graph queries

    Recent advances in neuroscience have enabled the exploration of brain structure at the level of individual synaptic connections. These connectomics datasets continue to grow in size and complexity; methods to ...

    Jordan K. Matelsky, Elizabeth P. Reilly, Erik C. Johnson in Scientific Reports (2021)

  8. Article

    Open Access

    A three-dimensional thalamocortical dataset for characterizing brain heterogeneity

    Neural microarchitecture is heterogeneous, varying both across and within brain regions. The consistent identification of regions of interest is one of the most critical aspects in examining neurocircuitry, as...

    Judy A. Prasad, Aishwarya H. Balwani, Erik C. Johnson, Joseph D. Miano in Scientific Data (2020)

  9. No Access

    Chapter and Conference Paper

    Connecting Neural Reconstruction Integrity (NRI) to Graph Metrics and Biological Priors

    We previously introduced the Neural Reconstruction Integrity (NRI) metric as a measure of how well the connectivity of the brain is measured in a neural circuit reconstruction, which can be represented as a gr...

    Elizabeth P. Reilly, Erik C. Johnson, Marisa J. Hughes in Complex Networks XI (2020)

  10. Article

    Open Access

    Sex Steroid Hormones Regulate Leptin Transcript Accumulation and Protein Secretion in 3T3-L1 Cells

    Leptin is an adipokine produced by fat cells that regulates food consumption and metabolic activity. Sexual dimorphism in leptin and fat stores have been observed in humans and rodents with females having more...

    Mónica Z. Jenks, Heather E. Fairfield, Erik C. Johnson in Scientific Reports (2017)

  11. No Access

    Article

    A minimum-error, energy-constrained neural code is an instantaneous-rate code

    Sensory neurons code information about stimuli in their sequence of action potentials (spikes). Intuitively, the spikes should represent stimuli with high fidelity. However, generating and propagating spikes i...

    Erik C. Johnson, Douglas L. Jones, Rama Ratnam in Journal of Computational Neuroscience (2016)

  12. Article

    Open Access

    A minimum-error, energy-constrained neural encoder predicts an instantaneous spike-rate code

    Erik C Johnson, Douglas L Jones, Rama Ratnam in BMC Neuroscience (2015)

  13. No Access

    Article

    Four Irritating Odorants Target the Trigeminal Chemoreceptor TRPA1

    The trigeminal nerve responds to a variety of nociceptive stimuli, including many chemicals that activate the olfactory system at lower concentrations. However, the mechanisms by which specific odorants activa...

    Paige M. Richards, Erik C. Johnson, Wayne L. Silver in Chemosensory Perception (2010)