The Learning, Memory and Decision Neuroscience Study Section (LMDN) reviews applications to investigate the anatomical and functional neurobiology and mechanisms of learning, memory, and decision making across the lifespan and in aging. It includes social/affective learning. The scope of this committee is broad and includes studies focused on the cellular and molecular changes, circuitry, and neural coding and integration that underlie learning, memory, decision making, and cognition. Studies may use established or emerging model systems including vertebrate or invertebrate animals with behavioral readouts, as well as computational approaches. Applications with non-human primates may be reviewed but human studies are generally not.
The membership panel is a list of chartered members only.
- Anatomical pathways, functional circuits, and behavioral physiology that mediate learning and memory or decision making in normal and pathological states.
- Mechanisms and function of memory encoding, retrieval, and forgetting.
- Unconventional molecular, cellular, and biochemical concepts for memory engrams.
- Neural and synaptic correlates of learning, memory, and decision making assessed at the level of single neuron and population firing patterns, brain rhythms, and imaging in in vitro and in vivo models including awake behaving animals.
- Cellular, molecular, genetic, and epigenetic events that underlie plasticity, as they relate to learning, memory, and decision making
- Biomarkers of learning, memory, and decision making.
- Circadian influences on learning and memory.
- Effects of developmental perturbations (e.g., stress, drugs of abuse), or age-related change on learning, memory and decision making across the lifespan.
- Effects of disease and injury on the fundamental neurobiological processes underlying learning, memory and decision making.
- Neurobiological mechanisms behind normal developmental and age-related changes in learning, memory and decision making
- Circuitry-level studies of the neural basis of cognition and executive functions (other than those associated with visual, auditory, or chemosensory cues) in animal models.
- Computational, AI, and machine learning approaches to modeling of synaptic plasticity, neural circuitry, intercellular and intracellular processes, and interactions among brain structures that affect learning, memory and decision making
Shared Interests and Overlaps
Applications focused on the use of behavioral assays to understanding learning and memory, and with limited molecular and circuit-level mechanistic analysis, may be reviewed by Biobehavioral Regulation, Learning and Ethology Study Section (BRLE).
There are shared interests with the Neurobiology of Motivated Behavior (NMB) study section in the area of motivated behavior. Applications with molecular, cellular, and neurocircuitry questions related to memory associated with motivated behavior are generally reviewed in LMDN, whereas applications that address regulation of learning associated with the rewarding and aversive cues, may be reviewed by NMB.
Circuitry-level studies of the neural basis of cognition and executive functions in animals are generally reviewed by LMDN. However, applications involving learning and memory, or executive functions that emphasize understanding the processing of visual, auditory, olfactory, or gustatory cues are more typically reviewed in Neuroscience of Basic Visual Processes (NBVP), Auditory System (AUD) or Neuroscience of Interoception and Chemosensation (NIC).
Applications involving learning and memory, or executive functions that are focused on understanding the visual processes, visual perception, or visual attention are generally reviewed by NBVP.
Applications focused on motor learning may be more appropriate for review in Sensory-Motor Neuroscience (SMN).
Applications focused on cognition and perception in human subjects or nonhuman primates, with emphasis on behavioral analysis and neuroimaging methods, may be reviewed in Human Complex Mental Function (HCMF).
Applications to investigate neurodegeneration not focused on mechanisms of learning and memory, are generally reviewed by Chronic Dysfunction and Integrative Neurodegeneration (CDIN). When such applications primarily investigate learning and memory processes, they are often more appropriate for LMDN.
Applications involving extensive computational and analytical modeling may be reviewed by Modeling and Analysis of Biological Systems (MABS), especially when the focus is on development of modeling methods or approaches; applications of computational approaches to problems in learning, memory, or decision making are more likely appropriate for LMDN.
There are shared interests in neurobiological mechanisms and neural plasticity with Neuronal Communications (NC). Applications that emphasize organismal/systems level of plasticity, learning, memory, and decision making are reviewed in LMDN. Applications that emphasize the cellular level of neuronal communications and plasticity are reviewed in NC.