The OpenPicoAmp : an open-source planar lipid bilayer amplifier for hands-on learning of neuroscience

Neuroscience education can be promoted by the availability of low cost and engaging teaching materials. To address this issue, we developed an open-source lipid bilayer amplifier, the OpenPicoAmp, which is appropriate for use in introductory courses in biophysics or neurosciences dealing with the electrical properties of the cell membrane. The amplifier is designed using the common lithographic printed circuit board fabrication process and off-the-shelf electronic components. In addition, we propose a specific design for experimental chambers allowing the insertion of a commercially available polytetrafluoroethylene film. This experimental setup can be used in simple experiments in which students monitor the bilayer formation by capacitance measurement and record unitary currents produced by ionic channels like gramicidin A. Used in combination with a low-cost data acquisition board this system provides a complete solution for hands-on lessons, therefore improving the effectiveness in teaching basic neurosciences or biophysics.Comment: 13 pages, 6 figures and supplementary information (9 files including one movie). Added references, added figure, corrected typos, corrected board components list, more detailled implementation documen

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems

Restricted Boltzmann Machines (RBMs) and Deep Belief Networks have been demonstrated to perform efficiently in a variety of applications, such as dimensionality reduction, feature learning, and classification. Their implementation on neuromorphic hardware platforms emulating large-scale networks of spiking neurons can have significant advantages from the perspectives of scalability, power dissipation and real-time interfacing with the environment. However the traditional RBM architecture and the commonly used training algorithm known as Contrastive Divergence (CD) are based on discrete updates and exact arithmetics which do not directly map onto a dynamical neural substrate. Here, we present an event-driven variation of CD to train a RBM constructed with Integrate & Fire (I&F) neurons, that is constrained by the limitations of existing and near future neuromorphic hardware platforms. Our strategy is based on neural sampling, which allows us to synthesize a spiking neural network that samples from a target Boltzmann distribution. The recurrent activity of the network replaces the discrete steps of the CD algorithm, while Spike Time Dependent Plasticity (STDP) carries out the weight updates in an online, asynchronous fashion. We demonstrate our approach by training an RBM composed of leaky I&F neurons with STDP synapses to learn a generative model of the MNIST hand-written digit dataset, and by testing it in recognition, generation and cue integration tasks. Our results contribute to a machine learning-driven approach for synthesizing networks of spiking neurons capable of carrying out practical, high-level functionality.Comment: (Under review

I Am The Passenger: How Visual Motion Cues Can Influence Sickness For In-Car VR

This paper explores the use of VR Head Mounted Displays (HMDs) in-car and in-motion for the first time. Immersive HMDs are becoming everyday consumer items and, as they offer new possibilities for entertainment and productivity, people will want to use them during travel in, for example, autonomous cars. However, their use is confounded by motion sickness caused in-part by the restricted visual perception of motion conflicting with physically perceived vehicle motion (accelerations/rotations detected by the vestibular system). Whilst VR HMDs restrict visual perception of motion, they could also render it virtually, potentially alleviating sensory conflict. To study this problem, we conducted the first on-road and in motion study to systematically investigate the effects of various visual presentations of the real-world motion of a car on the sickness and immersion of VR HMD wearing passengers. We established new baselines for VR in-car motion sickness, and found that there is no one best presentation with respect to balancing sickness and immersion. Instead, user preferences suggest different solutions are required for differently susceptible users to provide usable VR in-car. This work provides formative insights for VR designers and an entry point for further research into enabling use of VR HMDs, and the rich experiences they offer, when travelling

A Critical Commentary on Block 2011: "David Friedman and Libertarianism: a Critique" and a Comparison with Lester [2000] 2012's Responses to Friedman

David Friedman posed a number of libertarian philosophical problems (Friedman 1989). This essay criticizes Walter Block’s Rothbardian responses (Block 2011) and compares them with J C Lester’s critical-rationalist, libertarian-theory responses (Lester [2000] 2012). The main issues are as follows. 1. Critical rationalism and how it applies to libertarianism. 2.1. How libertarianism is not inherently about law and is inherently about morals. 2.2. How liberty relates to property and can be maximized: carbon dioxide and radio waves. 2.3. Applying the theory to flashlights. 2.4. Applying the theory to the probability of imposed risks. 2.5. “Homesteading” or initial acquisition. 2.6 What is “essential” for a “true libertarian.” 2.7. Crime and punishment. 2.8. Extent of punishment. 2.9. The libertarian response to a madman with a gun. 2.10. How contradictions in rights are possible. 2.11. The draft. 3.1. Utilitarian libertarianism and “nose counting”. 3.2. How interpersonal comparisons of utility are possible and utility monsters are not a threat. 3.3. Why it is not utilitarian in practice to kill an innocent prisoner to prevent a riot. 3.4. Why David Friedman should not be forced to give up one of his eyes. 3.5. How utilitarians can be libertarians. Conclusion: a proper theory of liberty combined with critical rationalism offers superior solutions to Friedman’s problems. Appendix: replies to two commentators