Activity-dependent plasticity

…modifiable goal signals, leveraging activity-dependent plasticity to adapt to new environments. Fiete explored t

…central to learning, memory, and activity-dependent plasticity. Typically, humans quantify dendritic spines from light microscopy data in a manual painstaking, error-prone process. We found that human-to-human variability is substantial (inter-rater reliability 82.2±6.4 %), raising concerns about the reproducibility of experiments and the validity of using human-annotated 'ground truth' as an evaluation method for computational approaches of spine identification. To address this, we pres

…Although the activity dependent plasticity mechanisms induced in the spinal networks remain unknown, extensive studies in humans and animal models have revealed the importance that the intrinsic variables of each rehabilitation regime have for the obtaining the highest degree of recovery. Nevertheless, since the gain achieved is incomplete, compensatory, or synergistic interventions which can increase the efficiency of patient’s sensorimo

…matrix are pruned and strengthened by activity-dependent signals until the network can sufficiently generalize a set of inputs into outputs. Here, we challenge these lea

A widely-accepted tenet of neuroscience is that learning relies on synaptic plasticity. Because plasticity is thought to be governed by local, activity-dependent rules, it is a longstanding mystery how synapses change in concert so that behavioral output improves. This problem is aggravated by the recurrent and multilayered architecture of the cortex, which makes it hard to determine the effects of a given synaptic modification. Here we present a novel principle for learning rooted in optimal control theory, which yields local plasticity rules for any neural dynamics which reaches an equilibri

…neurons influence synapses through activity-dependent plasticity, and synapses influence neurons by shaping network dynamics. While previous studies have analyzed recurrent circuits with static synapses, or synapses displaying short-term facilitation and depression, the impact of ongoing Hebbian plasticity on network behavior is not well elucidated. Such an understanding is required to map the full landscape of neural-circuit dynamics and to probe computational roles of dynamic synapses. To address this knowledge ga