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  1. Article

    Open Access

    De novo motor learning creates structure in neural activity that shapes adaptation

    Animals can quickly adapt learned movements to external perturbations, and their existing motor repertoire likely influences their ease of adaptation. Long-term learning causes lasting changes in neural connec...

    Joanna C. Chang, Matthew G. Perich, Lee E. Miller, Juan A. Gallego in Nature Communications (2024)

  2. No Access

    Article

    A spinal cord neuroprosthesis for locomotor deficits due to Parkinson’s disease

    People with late-stage Parkinson’s disease (PD) often suffer from debilitating locomotor deficits that are resistant to currently available therapies. To alleviate these deficits, we developed a neuroprosthesi...

    Tomislav Milekovic, Eduardo Martin Moraud, Nicolo Macellari in Nature Medicine (2023)

  3. Article

    Open Access

    Preserved neural dynamics across animals performing similar behaviour

    Animals of the same species exhibit similar behaviours that are advantageously adapted to their body and environment. These behaviours are shaped at the species level by selection pressures over evolutionary t...

    Mostafa Safaie, Joanna C. Chang, Junchol Park, Lee E. Miller, Joshua T. Dudman in Nature (2023)

  4. Article

    Open Access

    Small, correlated changes in synaptic connectivity may facilitate rapid motor learning

    Animals rapidly adapt their movements to external perturbations, a process paralleled by changes in neural activity in the motor cortex. Experimental studies suggest that these changes originate from altered i...

    Barbara Feulner, Matthew G. Perich, Raeed H. Chowdhury in Nature Communications (2022)

  5. No Access

    Article

    Epidural electrical stimulation of the cervical dorsal roots restores voluntary upper limb control in paralyzed monkeys

    Regaining arm control is a top priority for people with paralysis. Unfortunately, the complexity of the neural mechanisms underlying arm control has limited the effectiveness of neurotechnology approaches. Her...

    Beatrice Barra, Sara Conti, Matthew G. Perich, Katie Zhuang in Nature Neuroscience (2022)

  6. No Access

    Article

    Long-term stability of cortical population dynamics underlying consistent behavior

    Animals readily execute learned behaviors in a consistent manner over long periods of time, and yet no equally stable neural correlate has been demonstrated. How does the cortex achieve this stable control? Us...

    Juan A. Gallego, Matthew G. Perich, Raeed H. Chowdhury in Nature Neuroscience (2020)

  7. No Access

    Article

    Linear-nonlinear-time-warp-poisson models of neural activity

    Prominent models of spike trains assume only one source of variability – stochastic (Poisson) spiking – when stimuli and behavior are fixed. However, spike trains may also reflect variability due to internal p...

    Patrick N. Lawlor, Matthew G. Perich in Journal of Computational Neuroscience (2018)

  8. Article

    Open Access

    Cortical population activity within a preserved neural manifold underlies multiple motor behaviors

    Populations of cortical neurons flexibly perform different functions; for the primary motor cortex (M1) this means a rich repertoire of motor behaviors. We investigate the flexibility of M1 movement control by...

    Juan A. Gallego, Matthew G. Perich, Stephanie N. Naufel in Nature Communications (2018)

  9. Article

    Open Access

    Population coding of conditional probability distributions in dorsal premotor cortex

    Our bodies and the environment constrain our movements. For example, when our arm is fully outstretched, we cannot extend it further. More generally, the distribution of possible movements is conditioned on th...

    Joshua I. Glaser, Matthew G. Perich, Pavan Ramkumar, Lee E. Miller in Nature Communications (2018)

  10. No Access

    Article

    A cryptography-based approach for movement decoding

    Brain decoders use neural recordings to infer the activity or intent of a user. To train a decoder, one generally needs to infer the measured variables of interest (covariates) from simultaneously measured neu...

    Eva L. Dyer, Mohammad Gheshlaghi Azar, Matthew G. Perich in Nature Biomedical Engineering (2017)

  11. No Access

    Article

    Altered tuning in primary motor cortex does not account for behavioral adaptation during force field learning

    Although primary motor cortex (M1) is intimately involved in the dynamics of limb movement, its inputs may be more closely related to higher-order aspects of movement and multi-modal sensory feedback. Motor le...

    Matthew G. Perich, Lee E. Miller in Experimental Brain Research (2017)