Internal world models in humans, animals, and AI.

How do brains-biological or artificial-respond and adapt to an ever-changing environment? In a recent meeting, experts from various fields of neuroscience and artificial intelligence met to discuss internal world models in brains and machines, arguing for an interdisciplinary approach to gain deeper insights into the underlying mechanisms.

'It doesn't happen any other way': relationship-building and reflexivity for equity-focused intersectoral practice (EquIP).

Intersectoral processes that bring together public institutions, civil society organizations and affected community members are essential to tackling complex health equity challenges. While conventional wisdom points to the importance of human relationships in fostering collaboration, there is a lack of practical guidance on how to do intersectoral work in ways that support authentic relationship-building and mitigate power differentials among people with diverse experiences and roles. This article presents the results of RentSafe EquIP, a community-based participatory research initiative conducted in Owen Sound, Canada, in the midst of a housing crisis.

Spindle-dependent memory consolidation in healthy adults: A meta-analysis.

Accumulating evidence suggests a central role for sleep spindles in the consolidation of new memories. However, no meta-analysis of the association between sleep spindles and memory performance has been conducted so far. Here, we report meta-analytical evidence for spindle-memory associations and investigate how multiple factors, including memory type, spindle type, spindle characteristics, and EEG topography affect this relationship.

Root and branch hydraulic functioning and trait coordination across organs in drought-deciduous and evergreen tree species of a subtropical highland forest.

Vessel traits are key in understanding trees' hydraulic efficiency, and related characteristics like growth performance and drought tolerance. While most plant hydraulic studies have focused on aboveground organs, our understanding of root hydraulic functioning and trait coordination across organs remains limited. Furthermore, studies from seasonally dry (sub-)tropical ecosystems and mountain forests are virtually lacking and uncertainties remain regarding potentially different hydraulic strategies of plants differing in leaf habit.

Continuously changing memories: a framework for proactive and non-linear consolidation.

The traditional view of long-term memory is that memory traces mature in a predetermined 'linear' process: their neural substrate shifts from rapidly plastic medial temporal regions towards stable neocortical networks. We propose that memories remain malleable, not by repeated reinstantiations of this linear process but instead via dynamic routes of proactive and non-linear consolidation: memories change, their trajectory is flexible and reversible, and their physical basis develops continuously according to anticipated demands. Studies demonstrating memory updating, increasing hippocampal dependence to support adaptive use, and rapid neocortical plasticity provide evidence for continued non-linear consolidation.

On the extraction of purely motor EEG neural correlates during an upper limb visuomotor task.

Deciphering and analyzing the neural correlates of different movements from the same limb using electroencephalography (EEG) would represent a notable breakthrough in the field of sensorimotor neurophysiology. Functional movements involve concurrent posture co-ordination and head and eye movements, which create electrical activity that affects EEG recordings. In this paper, we revisit the identification of brain signatures of different reaching movements using EEG and present, test, and validate a protocol to separate the effect of head and eye movements from a reaching task-related visuomotor brain activity.

Lessons from a rural housing crisis: grounded insights for intersectoral action on health inequities.

Local communities are struggling with persistent health inequities driven by income disparity, housing inadequacy, and other intersecting factors that constrain individual and community well-being. Increasingly, intersectoral approaches are recognized as essential to tackle such challenges, given their intersecting nature. This paper describes Equity-focused Intersectoral Practice (EquIP), a novel methodology that merges participatory research principles with the purposeful positioning of grounded expertise (lived experience) to shift the gaze of intersectoral actors towards the contextual factors that contribute to health inequities.

A high-affinity, bivalent PDZ domain inhibitor complexes PICK1 to alleviate neuropathic pain.

Maladaptive plasticity involving increased expression of AMPA-type glutamate receptors is involved in several pathologies, including neuropathic pain, but direct inhibition of AMPARs is associated with side effects. As an alternative, we developed a cell-permeable, high-affinity (~2 nM) peptide inhibitor, Tat-P -(C5) , of the PDZ domain protein PICK1 to interfere with increased AMPAR expression. The affinity is obtained partly from the Tat peptide and partly from the bivalency of the PDZ motif, engaging PDZ domains from two separate PICK1 dimers to form a tetrameric complex.

Evidence against a large effect of sleep in protecting verbal memories from interference.

The human brain has evolved to acquire novel information rapidly while serving the need to store long-term memories in a stable and lasting form. Presenting interfering information directly after learning can lead to forgetting of the original material. It has been suggested that sleep aids the stabilization of new memories and protects them from interference.

The Impact of a Flexible Stern on Canoe Boat Maneuverability and Speed.

Paddle boats like canoes and kayaks draw a sinusoidal path when a linear movement is intended. The reason for this behavior is that each paddle stroke induces a lateral movement of the boat. In this study, we sought to reduce the so-called yawing motion.

Rehearsal initiates systems memory consolidation, sleep makes it last.

After encoding, memories undergo a transitional process termed systems memory consolidation. It allows fast acquisition of new information by the hippocampus, as well as stable storage in neocortical long-term networks, where memory is protected from interference. Whereas this process is generally thought to occur slowly over time and sleep, we recently found a rapid memory systems transition from hippocampus to posterior parietal cortex (PPC) that occurs over repeated rehearsal within one study session.

Fast track to the neocortex: A memory engram in the posterior parietal cortex.

Models of systems memory consolidation postulate a fast-learning hippocampal store and a slowly developing, stable neocortical store. Accordingly, early neocortical contributions to memory are deemed to reflect a hippocampus-driven online reinstatement of encoding activity. In contrast, we found that learning rapidly engenders an enduring memory engram in the human posterior parietal cortex.

Sleep Spindles and Memory Reprocessing.

We propose a framework for the memory function of spindle oscillations during sleep. In this framework, memories are reinstated by spindle events and further reprocessed during subsequent spindle refractory periods. We posit that spindle refractoriness is crucial for protecting memory reprocessing from interference.

Sleep spindles.

Schönauer and Pöhlchen introduce the reader to sleep spindles, brain oscillations that occur during nREM sleep that are thought to function in the stabilization of memories.

Multivariate classification of neuroimaging data with nested subclasses: Biased accuracy and implications for hypothesis testing.

Biological data sets are typically characterized by high dimensionality and low effect sizes. A powerful method for detecting systematic differences between experimental conditions in such multivariate data sets is multivariate pattern analysis (MVPA), particularly pattern classification. However, in virtually all applications, data from the classes that correspond to the conditions of interest are not homogeneous but contain subclasses.

Incubation, not sleep, aids problem-solving.

Solving a novel problem and finding innovative solutions requires a flexible and creative recombination of prior knowledge. It is thought that setting a problem aside before giving it another try aids problem-solving. The underlying mechanisms of such an incubation period could include unconscious processing that fosters spreading activation along associated networks and the restructuring of problem representations.

Sleep Spindles: Timed for Memory Consolidation.

It has long been known that sleep supports memory consolidation. Two recent studies now shed light on how sleep spindles, characteristic 11-16 Hz activity bursts, contribute critically to memory processing during the night.

Sleep Does Not Promote Solving Classical Insight Problems and Magic Tricks.

During creative problem solving, initial solution attempts often fail because of self-imposed constraints that prevent us from . In order to solve a problem successfully, the problem representation has to be restructured by combining elements of available knowledge in novel and creative ways. It has been suggested that sleep supports the reorganization of memory representations, ultimately aiding problem solving.

Decoding cognitive concepts from neuroimaging data using multivariate pattern analysis.

Multivariate pattern analysis (MVPA) methods are now widely used in life-science research. They have great potential but their complexity also bears unexpected pitfalls. In this paper, we explore the possibilities that arise from the high sensitivity of MVPA for stimulus-related differences, which may confound estimations of class differences during decoding of cognitive concepts.

Untangling a Cholinergic Pathway from Wakefulness to Memory.

Acetylcholine is a major modulator of learning and memory, and its availability varies across the sleep-wake cycle. In this issue of Neuron, Papouin et al. (2017) describe a D-serine-dependent pathway involving astroglia by which the transmitter tunes the hippocampus toward memory encoding during wakefulness.

Decoding material-specific memory reprocessing during sleep in humans.

Neuronal learning activity is reactivated during sleep but the dynamics of this reactivation in humans are still poorly understood. Here we use multivariate pattern classification to decode electrical brain activity during sleep and determine what type of images participants had viewed in a preceding learning session. We find significant patterns of learning-related processing during rapid eye movement (REM) and non-REM (NREM) sleep, which are generalizable across subjects.

Night sleep in patients with vegetative state.

Polysomnographic recording of night sleep was carried out in 15 patients with the diagnosis vegetative state (syn. unresponsive wakefulness syndrome). Sleep scoring was performed by three raters, and confirmed by means of a spectral power analysis of the electroencephalogram, electrooculogram and electromyogram.

Sleep-mediated memory consolidation depends on the level of integration at encoding.

There is robust evidence that sleep facilitates declarative memory consolidation. Integration of newly acquired memories into existing neocortical knowledge networks has been proposed to underlie this effect. Here, we test whether sleep affects memory retention for word-picture associations differently when it was learned explicitly or using a fast mapping strategy.

Rapid and independent memory formation in the parietal cortex.

Previous evidence indicates that the brain stores memory in two complementary systems, allowing both rapid plasticity and stable representations at different sites. For memory to be established in a long-lasting neocortical store, many learning repetitions are considered necessary after initial encoding into hippocampal circuits. To elucidate the dynamics of hippocampal and neocortical contributions to the early phases of memory formation, we closely followed changes in human functional brain activity while volunteers navigated through two different, initially unknown virtual environments.