The Brain Circuits and Behavior Lab (braincircuitsbehavior.org) afiliated with IDIBAPS (www.clinicbarcelona.org/en/idibaps) is currently looking for an Animal Research Lab Technician to work in our group. Our lab offers an interdisciplinary stimulating environment, that values rigor, collaboration, close mentoring and critical but positive thinking. We are also a active member of the Barcelona Cognitive Computational and Systems Neuroscience community (barccsyn.org) .

This is a opportunity for a strongly motivated person to work develop her/his general research skills as well as to learn state-of-the-art System Neurosciencen methodologies.

We offer:

• A 2 years contract to become the Lab technician of our team, participating in all the laboratory activities.

• Opportunity to conduct in animal experiments and participate in the research process.

• Large responsibility and a high degree of autonomy with strong support from the Principal Investigator.

• Training/courses on working with research animals in the laboratory.

• Training on simple data analysis techniques.

• A unique opportunity to shape the laboratory expertise and contribute with ideas on the design of experiments.

• Competitive remuneration according to Spanish salary standards and depending on previous experience.

You will:

• Train rats and mice in performing simple perceptual tasks using a computer-controlled system that records and controls the behavioral apparatus.

• Perform brain surgeries for implanting subcranial electrodes or cannulas.

• Conduct the behavioral experiments during which animals brain activity will be recorded or manipulated.

• Quantify and monitor the behavioral performance of the animals using custom-made software. Make simple reports about behavioral performance using simple data analysis programs (e.g. Excell, Python).

• Place laboratory orders regarding the animal experiments.

Our requirements:

• Previous experience working with mice and rats is an advantage.

• Responsibility, attention to detail and high motivation.

• Excellent interpersonal skills, strong problem-solving skills as well as organizational capabilities.

• Ability to keep track of multiple simultaneous animal experiments.

• Basic computer skills are also necessary. Any experience on using Arduino cards or programing skills in any language will be highly valued.

• Fluency in English (spoken and written). Notions of Spanish or Catalan will be a plus.

To Apply:

• Applicants are requested to submit a short cover/motivation letter explaining their suitability for the position and curriculum vitae. Please, also provide the name and contact information of two two refereces.

• Applications should be submitted before December 20th 2022 to Jaime de la Rocha, as e-mail attachments (PDF format only), to jrochav [at] recerca.clinic.cat

2 Open PhD positions to investigate the neural basis of learning or working memory mechanisms.

The Brain Circuits and Behavior Lab (braincircuitsbehavior.org) is currently looking for two highly motivated graduate students to carry out their PhD research in our laboratory. Our lab offers an interdisciplinary stimulating environment, that values rigor, collaboration, close mentoring and critical but positive thinking. We are also a active member of the Barcelona Cognitive Computational and Systems Neuroscience community (barccsyn.org) .

The two projects proposed are the following:

1. Project “Circuit mechanisms of priors and learning during decision making“ . This project is funded by the NIH-AEI withing the Collaborative Research in Comptuational Neuroscience (CRCNS) program and will be carried out in collaboration with Robert G. Yang (MIT) and Manuel Molano (CRM).

   The candidate should have a masters in Neuroscience (or similar), experience working with mice or rats, fluent English, ability to work in an interdisciplinary team, be responsible and oriented to the detail. We will value programming skills, experience with stereotactic surgeries and writting/communication skills.
   
   The project consists in studying how rats and humans learn simple categorization tasks with different statistical structure (i.e. different serial correlations in the stimulus sequence). We will be performing population recordings in behaving animals, optogenetic experiments and manipulations of synaptic plasticity mechanisms during task learning.

   We offer a full time three-year position with a competitive PhD salary. Starting date will be between February and June 2023. Our lab offers an interdisciplinary stimulating environment, that values rigor, collaboration, close mentoring and critical but positive thinking. We are also a active member of the Barcelona Cognitive Computational and Systems Neuroscience community (barccsyn.org) which connects a large number of groups in Barcelona with common interests and complementary approaches. Candidates interested in the position, please send an email to Jaime de la Rocha (jrochav *at* recerca.clinic.cat) with a short cover/motivation letter explaining their suitability for the position and curriculum vitae. Please, also provide the name and contact information of two two refereces.

   
   
   

2. Project “The neural basis of working memory history biases as components of statistical learning” funded by AEI. 

   The candidate should have a Master’s Degree in Neuroscience, Cognitive Science, Data Science or similar, have good programming skills, be fluent in English and have a genuine interest for cognitive research from a quantitative biological approach.

    

   The project investigates the neural basis of history biases in working memory and their relation to sequence prediction using combined computational modeling, analysis of neurophysiological data from monkey experiments, and EEG and intracranial recording experiments in humans. See project summary below.

    

   We offer a full time four-year position with a competitive PhD salary. Starting date is negotiable, but should be before September 2023. Candidates interested in the position, please send an email to Albert Compte (acompte *at* recerca.clinic.cat)
    

Summary “Circuit mechanisms of priors and learning during decision making“ :
The use of perceptual decision making tasks in animals has propelled our understanding of the neural basis of elemental cognition. However, we still lack a fundamental understanding of the mechanisms at play during task learning. Animal training remains a venturesome enterprise commonly resulting in suboptimal behaviors plagued with superstitious ticks and idiosyncratic biases. One prominent example of such suboptimality are sequential effects: animals tend to bias their choices based on previous decisions and outcomes, hindering performance in common laboratory tasks using independent trials.

Training recurrent neural networks (RNN) on decision making tasks has become a common approach to study potential neural mechanisms of cognition. Yet, RNNs typically behave much closer to optimality in laboratory tasks than real subjects. We suggest this behavioral difference is rooted in the fundamental discrepancy between how animals and current RNNs learn: unlike animals before learning, RNNs before training are tabula rasa and their connectivity is adjusted exclusively to the local contingencies of the task.

We hypothesize that animals’ learning of simple laboratory tasks builds mostly on pre-existing programs, namely structural prior, that have been shaped through evolution for the species’ fitness in a given ecological niche. Sequential effects are a manifestation of such pre-wired strategies, which may ultimately support learning, by the rapid formation of new associations between past events and future rewards. To test this, we will characterize sequential effects during learning of a set of perceptual tasks and identify their underlying neural circuitry. In close interaction, we will compare animals’ behavior with RNNs which, after being equipped with structural priors, can then mimic the animal’s ability to learn new tasks.

Summary “The neural basis of working memory history biases as components of statistical learning”:

Our brain excels at finding structure and meaning in incoming streams of sensory information without any explicit teaching signal. Such statistical learning underlies language and other high-order functions and has been shown to be defective in various mental disorders (e.g. autism, schizophrenia), but little progress has been made in understanding its neural network basis. This project aims to provide a neural network understanding of statistical learning by defining recently described attractive history biases in working memory as a proxy of statistical learning. By harnessing the strong theoretical basis of working memory, we will combine experiments in humans, data analysis of neural spiking data and computational modeling to test the hypotheses that short-term working memory history biases are supported by synaptic plasticity mechanisms operating in the local prefrontal circuit, while longer-term working memory history biases depend on cortico-cortical interactions with other brain areas, and these mechanisms contribute to statistical learning. To test this, we will pursue two aims: (1) define neural network dynamics supporting working memory history biases using computational models constrained by human electrophysiological and magnetic resonance imaging recordings; and (2) test the association of working memory history biases with sequence prediction in healthy statistical learning. By integrating data from brain structure, neural function and behaviour in humans and monkeys, we will deliver mechanistically consistent biophysical network models of statistical learning. This knowledge will foster understanding of the biology of sequential cognitive processing, and provide tools to advance towards mechanistically informative behavioural biomarkers that allow stratification of persons with deficits in statistical learning.

The group of Computational Neuroscience at the Center for Research in Mathematics (CRM), Barcelona is looking for a postdoctoral researcher. Research interests of the group include decision-making, perception, working memory, spatial memory, neural network models and developing new methods for analysis of behavioral and neural data. The candidate will work in the group of Alex Roxin, Klaus Wimmer and/or Alex Hyafil. The project will be defined in collaboration with the supervisor(s) and may include working with experimental data from external collaborators or collecting psychophysics/EEG data in the lab.

 Candidates should have a PhD in computational neuroscience or a related field, with their PhD obtained after 1/1/2017. Candidates from applied mathematics or physics are also welcome. Research experience outside of Catalonia is required.

APPLICATION: Send a curriculum and motivation letter with a list of two contacts for recommendation letter to kwimmer@crm.cat or ahyafil@crm.cat. Informal enquiries are welcome.

DEADLINE: contact before January 15th, 2022.
DURATION: two years
STARTING DATE: June-November 2022

A postdoc position is available under the supervision of Alexandre Hyafil in the group of Computational Neuroscience at the Center for Research in Mathematics (CRM), Barcelona, Spain (http://www.crm.cat/research-group/5/computational-neuroscience/). The project will combine modelling and psychophysics (possibly neuroimaging) to study the computational mechanisms underlying human perception. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience.

Candidates should have a PhD in computational neuroscience, cognitive neuroscience or a related field. Prior experience with psychophysics, neuroimaging, machine learning and/or computational modelling will be valued.  Financial support is provided by the Spanish Ministry of Science. Initial appointment: two years.

APPLICATION: Send a curriculum and motivation letter with a list of two contacts for recommendation letter to alexandre.hyafil@gmail.com. Informal enquiries are welcome.

DEADLINE: until the position is filled