Seminars

Having conscious experience is arguably the most important reason why it matters to us whether we are alive or dead. A powerful paradigm to identify neural correlates of consciousness is binocular rivalry, wherein a constant visual stimulus evokes a varying conscious percept. It has recently been suggested that activity modulations observed during rivalry may represent the act of report rather than the conscious percept itself. Here, we performed single-unit recordings from face patches in macaque inferotemporal (IT) cortex using a novel no-report paradigm in which the animal’s conscious percept was inferred from eye movements. These experiments reveal two new results concerning the neural correlates of consciousness. First, we found that high proportions of IT neurons represented the conscious percept even without active report. Using high-channel recordings, including a new 128-channel Neuropixels-like probe, we were able to decode the conscious percept on single trials. Second, we found that even on single trials, modulation to rivalrous stimuli was weaker than that to unambiguous stimuli, suggesting that cells may encode not only the conscious percept but also the suppressed stimulus. To test this hypothesis, we varied the identity of the suppressed stimulus during binocular rivalry; we found that indeed, we could decode not only the conscious percept but also the suppressed stimulus from neural activity. Moreover, the same cells that were strongly modulated by the conscious percept also tended to be strongly modulated by the suppressed stimulus. Together, our findings indicate that (1) IT cortex possesses a true neural correlate of consciousness even in the absence of report, and (2) this correlate consists of a population code wherein single cells multiplex representation of the conscious percept and veridical physical stimulus, rather than a subset of cells perfectly reflecting consciousness.

Drosophila can learn to associate odours with reward or punishment and the resulting memories direct odour-specific approach or avoidance behaviours. Recent progress has revealed a straightforward model for learning in which reinforcing dopaminergic neurons assign valence to odour representations in the neural ensemble of the mushroom bodies. Dopamine directed synaptic depression alters the route of odour-driven activity through the mushroom body output network. This circuit configuration and influence of internal state guide the expression of appropriate behaviour. Importantly, learned behaviour is flexible and can be updated as the fly accumulates additional experience. Our latest studies demonstrate that well-informed behaviour is guided by combining parallel conflicting and complementary memories of opposite valence.

Biologists have recently come to appreciate that eukaryotic cells are home to a multiplicity of non-membrane bound compartments, many of which form and dissolve as needed for the cell to function. These dynamical “condensates” enable many central cellular functions – from ribosome assembly, to RNA regulation and storage, to signaling and metabolism. While it is clear that these compartments represent a type of separated phase, what controls their formation, how specific biological components are included or excluded, and how these structures influence physiological and biochemical processes remain largely mysterious. I will discuss recent experiments on phase separated condensates both in vitro and in vivo, and will present theoretical results that highlight a novel “magic number” effect relevant to the formation and control of two-component phase separated condensates.

In the Learning Salon, we will discuss the similarities and differences between biological and machine learning, including individuals with diverse perspectives and backgrounds, so we can all learn from one another.

Join us for a conversation on the science of uncertainty, mind wandering and creativity!

Join us for a conversation on the science of uncertainty, mind wandering and creativity!

Over the past 50 years, sociolinguistic studies on black Americans have expanded in both theoretical and technical scope, and newer research has moved beyond seeing speakers, especially black speakers, as a monolithic sociolinguistic community (Wolfram 2007, Blake 2014). Yet there remains a dearth of critical work on complex identities existing within black American communities as well as how these identities are reflected and perceived in linguistic practice. At the same time, linguists have begun to take greater interest in the ways in which public figures, such as politicians, may illuminate the wider social meaning of specific linguistic variables. In this talk, I will present results from analyses of multiple aspects of ethnolinguistic variation in the speech of Vice President Kamala Harris during the 2019-2020 Democratic Party Primary debates. Together, these results show how VP Harris expertly employs both enregistered and subtle linguistic variables, including aspects of African American Language morphosyntax, vowels, and intonational phonology in the construction and performance of a highly specific sociolinguistic identity that reflects her unique positions politically, socially, and racially. The results of this study expand our knowledge about how the complexities of speaker identity are reflected in sociolinguistic variation, as well as press on the boundaries of what we know about how speakers in the public sphere use variation to reflect both who they are and who we want them to be.

The symposium will start with Prof Song-Hai Shi who will present “Assembly of the neocortex”. Then, Dr Lynette Lim will talk about “Shared and Unique Developmental Trajectories of Cortical Inhibitory Neurons”. Dr Alfredo Molina will deal with the “Tuneable progenitor cells to build the cerebral cortex”, and Prof Tomasz Nowakowski will present “Charting the molecular 'protomap' of the human cerebral cortex using single cell genomic”.

The human brain is a heavily interconnected structure giving rise to complex functions. While brain functionality is mostly revealed during wakefulness, the sleeping brain might offer another view into physiological and pathological brain connectivity. Furthermore, there is a large body of evidence supporting that sleep mediates plastic changes in brain connectivity. Although brain plasticity depends on environmental input which is provided in the waking state, disconnection during sleep might be necessary for integrating new into existing information and at the same time restoring brain efficiency. In this talk, I will present structural, molecular, and electrophysiological markers of brain connectivity and sleep-dependent restoration that we have evaluated using Magnetic Resonance Imaging and electroencephalography in a healthy population. In a second step, I will show how we translated the gained findings into two clinical populations in which alterations in brain connectivity have been described, the neuropsychiatric disorder attention-deficit/hyperactivity disorder (ADHD) and the neurologic disorder thalamic ischemic stroke.

ALBA is launching a webinar series focusing on region-specific issues linked to diversity and faced by underrepresented groups in brain research around the world. In this first webinar, ALBA focus on issues linked to diversity and faced by underrepresented groups in brain research in Latin America.

The emergence of large-scale brain networks, and their continual refinement, represent crucial developmental processes that can drive individual differences in cognition and which are associated with multiple neurodevelopmental conditions. But how does this organization arise, and what mechanisms govern the diversity of these developmental processes? There are many existing descriptive theories, but to date none are computationally formalized. We provide a mathematical framework that specifies the growth of a brain network over developmental time. Within this framework macroscopic brain organization, complete with spatial embedding of its organization, is an emergent property of a generative wiring equation that optimizes its connectivity by renegotiating its biological costs and topological values continuously over development. The rules that govern these iterative wiring properties are controlled by a set of tightly framed parameters, with subtle differences in these parameters steering network growth towards different neurodiverse outcomes. Regional expression of genes associated with the developmental simulations converge on biological processes and cellular components predominantly involved in synaptic signaling, neuronal projection, catabolic intracellular processes and protein transport. Together, this provides a unifying computational framework for conceptualizing the mechanisms and diversity of childhood brain development, capable of integrating different levels of analysis – from genes to cognition. (Pre-print: https://www.biorxiv.org/content/10.1101/2020.08.13.249391v1)

Magnetic fields exert controllable forces that generate microscopic actuation and locomotion in soft materials with superparamagnetic or ferromagnetic components. I will describe the shape changes and materials parameters required to drive and direct matter including filaments, membranes and hydrogels with magnetic components using precessing magnetic fields

To understand the function of the brain and how its dysfunction leads to brain diseases, it is essential to have a deep understanding of the cell type composition of the brain, how the cell types are connected with each other and what their roles are in circuit function. At the Allen Institute, we have built multiple platforms, including single-cell transcriptomics, single and multi-patching electrophysiology, 3D reconstruction of neuronal morphology, high throughput brain-wide connectivity mapping, and large-scale neuronal activity imaging, to characterize the transcriptomic, physiological, morphological, and connectional properties of different types of neurons in a standardized way, towards a taxonomy of cell types and a description of their wiring diagram for the mouse brain, with a focus on the visual cortico-thalamic system. Building such knowledge base lays the foundation towards the understanding of the computational mechanisms of brain circuit function.