Andrew F. MacAskill

Nucleus reuniens is organised as parallel circuits rather than a prefrontal-hippocampal relay

Jessica Passlack, Kristina Valentinova, Andrew F. MacAskill

ABSTRACT Interactions between the prefrontal cortex (PFC) and hippocampus (HPC) are crucial for flexible and memory guided behaviour. Because there are no direct projections from PFC to HPC, it is widely presumed that information is shared through a disynaptic projection via the …

gb (code pays fourni par la source)

C1q and immunoglobulins mediate activity-dependent synapse loss in the adult brain

Gerard Crowley, Emir Turkes, Sebastiaan De Schepper, Benjy J.Y. Tan et autres

Complement component 1q (C1q), the initiator of the classical complement cascade, mediates synaptic elimination in development and disease, yet the triggers for its deposition on synapses remain unclear. Using in vivo chemogenetics, we demonstrate that neuronal hyperactivity induces region-specific, C1q-dependent synapse loss …

gb, fi, be, us (code pays fourni par la source)

Learning temporal structure engages hippocampus and guides value-based behaviour

Svenja Nierwetberg, David Orme, M. Chen, Andrew F. MacAskill

The ability to learn and exploit structured relationships between events is fundamental to adaptive behaviour and episodic-like memory, yet the neural mechanisms that support such learning remain poorly understood. Progress has been limited by the difficulty of dissociating relational structure from sensory …

gb (code pays fourni par la source)

Contextual inference through flexible integration of environmental features and behavioural outcomes

Jessica Passlack, Andrew F. MacAskill

The ability to use context to flexibly adjust our decision-making is vital for navigating a complex world. To do this, the brain must both use environmental features and behavioural outcomes to distinguish between different, often hidden contexts; and also learn how to …

gb (code pays fourni par la source)

Acetylcholine reflects uncertainty during hidden state inference

Ella Svahn, Wang Yeqing, Hermione Knebelmann, Yang Pan et autres

ABSTRACT To act adaptively, animals must infer features of the environment that cannot be observed directly, such as which option is currently rewarding, or which context they are in. These internal estimates, known as ‘hidden states’, guide behaviour but are inherently uncertain. …

gb (code pays fourni par la source)

Anxiety and Beyond: Diversity in Ventral Hippocampus Circuits and Function

Suzanne van der Veldt, Rosemary C. Bagot, Stéphane Ciocchi, Rutsuko Ito et autres

The ventral hippocampus (vHPC), initially implicated in anxiety regulation, is now recognized for its broader role in integrating emotional, motivational, and contextual information. This review synthesizes recent insights from rodent research presented at our 2025 Society for Neuroscience minisymposium, detailing how local …

nl, ca, gb, ch, us (code pays fourni par la source)

Hippocampal dendritic integration as hidden state inference

Andrew F. MacAskill

Many of the most important variables guiding behaviour, such as reward contingency, spatial location or contextual state, cannot be measured directly. Animals must instead infer them from noisy, incomplete information, a process termed ‘hidden state inference’. This requires combining internally generated estimates …

Author response: Heron, a Knowledge Graph editor for intuitive implementation of Python-based experimental pipelines

Ella Svahn, Andrew F. MacAskill, Athena Akrami

Complex scientific experiments often require setting up several pieces of hardware and software that must work together seamlessly. It is crucial not only to connect these components correctly, but also to design the setup in a way that others can easily replicate …

gb (code pays fourni par la source)

Heron, a Knowledge Graph editor for intuitive implementation of Python-based experimental pipelines

Georgios Dimitriadis, Ella Svahn, Andrew F. MacAskill, Athena Akrami

To realise a research project, experimenters face conflicting design and implementation choices across hardware and software. These include balancing ease of implementation – time, expertise, and resources – against future flexibility, the number of opaque (black box) components and reproducibility. To address …

gb (code pays fourni par la source)

Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning

Albert J. Qü, Lung-Hao Tai, Christopher D. Hall, Emilie M Tu et autres

Dopamine release in the nucleus accumbens has been hypothesized to signal the difference between observed and predicted reward, known as reward prediction error, suggesting a biological implementation for reinforcement learning. Rigorous tests of this hypothesis require assumptions about how the brain maps …

us, gb (code pays fourni par la source)

Contextual inference through flexible integration of environmental features and behavioural outcomes

Jessica Passlack, Andrew F. MacAskill

ABSTRACT The ability to use the context we are in to flexibly adjust our decision-making is vital for navigating a complex world. To do this, the brain must i) use environmental features and behavioural outcomes to distinguish between different, often hidden contexts; …

gb (code pays fourni par la source)

Author response: Heron: A Knowledge Graph editor for intuitive implementation of python based experimental pipelines

Georgios Dimitriadis, Ella Svahn, Andrew F. MacAskill, Athena Akrami

To realise a research project idea, an experimenter faces a series of conflicting design and implementation considerations, regarding both its hardware and software components. For instance, the ease of implementation, in time and expertise, should be balanced against the ease of future …

gb (code pays fourni par la source)